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Girish Nadkarni

Director, Charles Bronfman Institute of Personalized Medicine
Icahn School of Medicine Mt. Sinai

Girish N. Nadkarni, MD, MPH, is the Irene and Dr. Arthur M. Fishberg Professor of Medicine at the Icahn School of Medicine at Mount Sinai. As an expert physician-scientist, Dr. Nadkarni bridges the gap between comprehensive clinical care and innovative research.

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Girish Nadkarni

Director, Charles Bronfman Institute of Personalized Medicine
Icahn School of Medicine Mt. Sinai

Girish Nadkarni

Director, Charles Bronfman Institute of Personalized Medicine
Icahn School of Medicine Mt. Sinai

Girish N. Nadkarni, MD, MPH, is the Irene and Dr. Arthur M. Fishberg Professor of Medicine at the Icahn School of Medicine at Mount Sinai. As an expert physician-scientist, Dr. Nadkarni bridges the gap between comprehensive clinical care and innovative research. He is the System Chief of the Division of Data Driven and Digital Medicine (D3M), the Co-Director of the Mount Sinai Clinical Intelligence Center (MSCIC) and the Director of  Charles Bronfman Institute for Personalized Medicine. 

Before completing his medical degree at one of the top-ranked medical colleges in India, Dr. Nadkarni received training in mathematics. He then received a master’s degree in public health at the Johns Hopkins Bloomberg School of Public Health, and then was a research associate at the Johns Hopkins Medical Institute. Dr. Nadkarni completed his residency in internal medicine and his clinical fellowship in nephrology at the Icahn School of Medicine at Mount Sinai. He then completed a research fellowship in personalized medicine and informatics. 

Dr. Nadkarni has authored more than 240 peer-reviewed scientific publications, including articles in the New England Journal of Medicine, the Journal of the American Medical Association, the Annals of Internal Medicine and Nature Medicine. Dr. Nadkarni is the principal or co-investigator for several grants funded by the National Institutes of Health focusing on informatics, data science, and precision medicine. He is also one of the multiple principal investigators of the NIH RECOVER consortium focusing on the long-term sequelae of COVID-19. He has several patents and is also the scientific co-founder of investor-backed companies—one of which, Renalytix, is listed on NASDAQ. In recognition of his work as an active clinician and investigator, he has received several awards and honors, including the Dr. Harold and Golden Lamport Research Award, the Deal of the Year award from Mount Sinai Innovation Partners, the Carl Nacht Memorial Lecture, and the Rising Star Award from ANIO.

Abstract coming soon...

Author:

Matthew Burns

Technical Marketing Manager
Samtec

Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 20+ years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.

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Matthew Burns

Technical Marketing Manager
Samtec

Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 20+ years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.

Abstract coming soon...

Author:

Martin Ruskowski

Chairman, Department of Machine Tools and Control Systems
RPTU Kaiserslautern-Landau

Professor Dr. Martin Ruskowski took over the position as Head of the renamed Institute of Machine Tools and System Controls (WSKL) on June 1, 2017. His major research focus is on industrial robots as machine tools, artificial intelligence in automation technology, and the development of innovative control concepts for automation.

All equipment and machinery in the factories of tomorrow will be networked: Machines will have the ability to communicate and exchange data among themselves. Robots will continue to play an ever greater role in the world of Industrie 4.0. In the future, they may even replace traditional machine tools is some application situations, for example, in the milling of special components. "A priority of my work at TU Kaiserslautern and DFKI will be to improve the fitness of robots for demanding mechanical processing tasks. The new technologies that result from our research will provide more flexibility to companies and, ultimately, serve as a jobs motor in Germany," said Ruskowski in describing his new responsibilities.

Ruskowski is an expert in the fields of robotics and Industry 4.0. At DFKI and RPTU, his aim will be to develop solutions for the digitalization of production plants while also working on new control systems and robot mechanics to increase the efficiency of future generations of industrial robots. He will also study the question of how to make self-optimizing machines. A major focus is on Human-Machine Interaction in automated production plants. "In the context of the digitalization of production, we need new engineering techniques that will allow humans to more closely integrate the production processes," he added. "We can achieve this in cooperation with Technologie-Initiative SmartFactory KL e.V." This unique research lab located at DFKI provides ideal conditions for the practical evaluation of ambitious research projects.In addition, Ruskowski will hold a series of lectures at the department of Mechanical and Process Engineering on the subjects of machine tools and industrial robotics.

He studied electrical engineering at Leibniz University Hannover and also received his doctorate in mechanical engineering there. His doctoral thesis was a study of the dynamics of machine tools and the use active magnet guides for damping vibrations. Prior to his relocation to Kaiserslautern, Ruskowski held several management positions at industrial firms, most recently since 2015 as Vice President for Global Research and Development at KUKA Industries.

 

... read more

Martin Ruskowski

Chairman, Department of Machine Tools and Control Systems
RPTU Kaiserslautern-Landau

Professor Dr. Martin Ruskowski took over the position as Head of the renamed Institute of Machine Tools and System Controls (WSKL) on June 1, 2017. His major research focus is on industrial robots as machine tools, artificial intelligence in automation technology, and the development of innovative control concepts for automation.

All equipment and machinery in the factories of tomorrow will be networked: Machines will have the ability to communicate and exchange data among themselves. Robots will continue to play an ever greater role in the world of Industrie 4.0. In the future, they may even replace traditional machine tools is some application situations, for example, in the milling of special components. "A priority of my work at TU Kaiserslautern and DFKI will be to improve the fitness of robots for demanding mechanical processing tasks. The new technologies that result from our research will provide more flexibility to companies and, ultimately, serve as a jobs motor in Germany," said Ruskowski in describing his new responsibilities.

Ruskowski is an expert in the fields of robotics and Industry 4.0. At DFKI and RPTU, his aim will be to develop solutions for the digitalization of production plants while also working on new control systems and robot mechanics to increase the efficiency of future generations of industrial robots. He will also study the question of how to make self-optimizing machines. A major focus is on Human-Machine Interaction in automated production plants. "In the context of the digitalization of production, we need new engineering techniques that will allow humans to more closely integrate the production processes," he added. "We can achieve this in cooperation with Technologie-Initiative SmartFactory KL e.V." This unique research lab located at DFKI provides ideal conditions for the practical evaluation of ambitious research projects.In addition, Ruskowski will hold a series of lectures at the department of Mechanical and Process Engineering on the subjects of machine tools and industrial robotics.

He studied electrical engineering at Leibniz University Hannover and also received his doctorate in mechanical engineering there. His doctoral thesis was a study of the dynamics of machine tools and the use active magnet guides for damping vibrations. Prior to his relocation to Kaiserslautern, Ruskowski held several management positions at industrial firms, most recently since 2015 as Vice President for Global Research and Development at KUKA Industries.

 

Author:

Tatjana Legler

Deputy Head of Department
RPTU Kaiserslautern-Landau

Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on "Optimization of automated visual inspection of common rails using neural networks". She has been working at the Department of Machine Tools and Control Systems since November 2017.

Research Fields

Tatjana Legler deals with the use of artificial intelligence in the production environment. This includes, for example, the analysis of process data for the prediction of product quality and federated learning.

... read more

Tatjana Legler

Deputy Head of Department
RPTU Kaiserslautern-Landau

Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on "Optimization of automated visual inspection of common rails using neural networks". She has been working at the Department of Machine Tools and Control Systems since November 2017.

Research Fields

Tatjana Legler deals with the use of artificial intelligence in the production environment. This includes, for example, the analysis of process data for the prediction of product quality and federated learning.

 

Tatjana Legler

Deputy Head of Department
RPTU Kaiserslautern-Landau

Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on "Optimization of automated visual inspection of common rails using neural networks". She has been working at the Department of Machine Tools and Control Systems since November 2017.

Research Fields

Tatjana Legler deals with the use of artificial intelligence in the production environment. This includes, for example, the analysis of process data for the prediction of product quality and federated learning.

Read full bio

Tatjana Legler

Deputy Head of Department
RPTU Kaiserslautern-Landau

Tatjana Legler

Deputy Head of Department
RPTU Kaiserslautern-Landau

Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on "Optimization of automated visual inspection of common rails using neural networks". She has been working at the Department of Machine Tools and Control Systems since November 2017.

Research Fields

Tatjana Legler deals with the use of artificial intelligence in the production environment. This includes, for example, the analysis of process data for the prediction of product quality and federated learning.

 

Martin Ruskowski

Chairman, Department of Machine Tools and Control Systems
RPTU Kaiserslautern-Landau

Professor Dr. Martin Ruskowski took over the position as Head of the renamed Institute of Machine Tools and System Controls (WSKL) on June 1, 2017. His major research focus is on industrial robots as machine tools, artificial intelligence in automation technology, and the development of innovative control concepts for automation.

Read full bio

Martin Ruskowski

Chairman, Department of Machine Tools and Control Systems
RPTU Kaiserslautern-Landau

Martin Ruskowski

Chairman, Department of Machine Tools and Control Systems
RPTU Kaiserslautern-Landau

Professor Dr. Martin Ruskowski took over the position as Head of the renamed Institute of Machine Tools and System Controls (WSKL) on June 1, 2017. His major research focus is on industrial robots as machine tools, artificial intelligence in automation technology, and the development of innovative control concepts for automation.

All equipment and machinery in the factories of tomorrow will be networked: Machines will have the ability to communicate and exchange data among themselves. Robots will continue to play an ever greater role in the world of Industrie 4.0. In the future, they may even replace traditional machine tools is some application situations, for example, in the milling of special components. "A priority of my work at TU Kaiserslautern and DFKI will be to improve the fitness of robots for demanding mechanical processing tasks. The new technologies that result from our research will provide more flexibility to companies and, ultimately, serve as a jobs motor in Germany," said Ruskowski in describing his new responsibilities.

Ruskowski is an expert in the fields of robotics and Industry 4.0. At DFKI and RPTU, his aim will be to develop solutions for the digitalization of production plants while also working on new control systems and robot mechanics to increase the efficiency of future generations of industrial robots. He will also study the question of how to make self-optimizing machines. A major focus is on Human-Machine Interaction in automated production plants. "In the context of the digitalization of production, we need new engineering techniques that will allow humans to more closely integrate the production processes," he added. "We can achieve this in cooperation with Technologie-Initiative SmartFactory KL e.V." This unique research lab located at DFKI provides ideal conditions for the practical evaluation of ambitious research projects.In addition, Ruskowski will hold a series of lectures at the department of Mechanical and Process Engineering on the subjects of machine tools and industrial robotics.

He studied electrical engineering at Leibniz University Hannover and also received his doctorate in mechanical engineering there. His doctoral thesis was a study of the dynamics of machine tools and the use active magnet guides for damping vibrations. Prior to his relocation to Kaiserslautern, Ruskowski held several management positions at industrial firms, most recently since 2015 as Vice President for Global Research and Development at KUKA Industries.

 

 

Christian A. Camarce

Director
Sterne Kessler

Christian A. Camarce is a director in Sterne Kessler’s Electronics Practice Group. Christian focuses his practice on patent portfolio management and global IP strategy. Leveraging his experience as a former senior integrated circuit (IC) design engineer, Christian counsels clients to obtain and enforce patent protection in a wide variety of technologies, including IC chip design and packaging, semiconductor fabrication, and wireless communications.

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Christian A. Camarce

Director
Sterne Kessler

Christian A. Camarce

Director
Sterne Kessler

Christian A. Camarce is a director in Sterne Kessler’s Electronics Practice Group. Christian focuses his practice on patent portfolio management and global IP strategy. Leveraging his experience as a former senior integrated circuit (IC) design engineer, Christian counsels clients to obtain and enforce patent protection in a wide variety of technologies, including IC chip design and packaging, semiconductor fabrication, and wireless communications.

 

Daniel S. Block

Director
Sterne Kessler

Daniel S. Block is a director in Sterne Kessler's Electronics Practice Group. Dan’s practice primarily focuses on patent and anti-counterfeiting litigation at the International Trade Commission and in Federal district court. Dan has been integral in designing and implementing anti-counterfeiting measures for numerous international brands, with a focus on cost-neutral enforcement strategies. He has also served as counsel in over 50 post-grant proceedings at the USPTO’s Patent Trial and Appeal Board.

Read full bio

Daniel S. Block

Director
Sterne Kessler

Daniel S. Block

Director
Sterne Kessler

Daniel S. Block is a director in Sterne Kessler's Electronics Practice Group. Dan’s practice primarily focuses on patent and anti-counterfeiting litigation at the International Trade Commission and in Federal district court. Dan has been integral in designing and implementing anti-counterfeiting measures for numerous international brands, with a focus on cost-neutral enforcement strategies. He has also served as counsel in over 50 post-grant proceedings at the USPTO’s Patent Trial and Appeal Board. His technical expertise covers many areas of computing including: computer graphics, networking communications, web services, complex computer architectures, and storage systems.

 

Jonathan Tuminaro

Ph.D.; Director
Sterne Kessler

Jonathan Tuminaro, Ph.D. is a director in Sterne Kessler’s Trial & Appellate and Electronics Practice Groups. Jonathan is an experienced trial lawyer who focuses his practice on complex electronics litigation in the U.S. district courts, the U.S. International Trade Commission (ITC), and the Patent Trial and Appeal Board (PTAB).

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Jonathan Tuminaro

Ph.D.; Director
Sterne Kessler

Jonathan Tuminaro

Ph.D.; Director
Sterne Kessler

Jonathan Tuminaro, Ph.D. is a director in Sterne Kessler’s Trial & Appellate and Electronics Practice Groups. Jonathan is an experienced trial lawyer who focuses his practice on complex electronics litigation in the U.S. district courts, the U.S. International Trade Commission (ITC), and the Patent Trial and Appeal Board (PTAB). He has represented some of the leading high-tech companies in patent litigation matters relating to telecommunications, network security, LCD flat-panel displays, computer graphics, automotive technologies, GPS location-based service, and wireless power transfer.

As the era of high-performance computing (HPC) and artificial intelligence (AI) ushers in unprecedented advancements, the reliance on cloud strategies becomes vital. As cloud infrastructure becomes increasingly integral to supporting demanding computational workloads, maintaining the availability and robustness of these systems becomes paramount.

This panel will delve into the critical intersection of HPC/AI and cloud technology, spotlighting strategies for ensuring uninterrupted operations in the face of emerging challenges. The session brings together leading experts to examine architectural design paradigms that foster robustness, redundancy trade-offs, load balancing, and intelligent fault detection and predictive monitoring mechanisms. Experts will share insights on best practices for optimizing resource allocation, orchestrating seamless workload migrations, and deploying resilient cloud-native solutions. By exploring real-world cases, emerging trends, and practical insights, this discussion aims to equip data center and cloud professionals with insights to elevate their resiliency strategies amidst evolving computational demands.

Moderator

Author:

Alam Akbar

Director, Product Marketing
proteanTecs

Alam Akbar is a veteran of the semiconductor industry with experience spanning multiple engineering, product management, and product marketing roles. He holds a Bachelors of Science degree in Electrical Engineering from Texas A&M,  and an MBA from Santa Clara University.

 

Alam began his career at Synopsys as an Application Consultant where he helped grow their market share in the signoff domain. He then joined the business management team at Cadence where he helped launch a new physical verification solution. After Cadence, Alam joined  Intel Foundry services as a design kit program manager, and then moved into the client compute group as director of product marketing. There, he helped scale Intel's storage business, and developed product strategy for new memory solutions for the PC market.

At ProteanTecs, he's part of a team that’s bringing greater insight into the health and performance of semiconductors across the value chain, from the design stage to in field operation, and all the steps in the middle. 

... read more

Alam Akbar

Director, Product Marketing
proteanTecs

Alam Akbar is a veteran of the semiconductor industry with experience spanning multiple engineering, product management, and product marketing roles. He holds a Bachelors of Science degree in Electrical Engineering from Texas A&M,  and an MBA from Santa Clara University.

 

Alam began his career at Synopsys as an Application Consultant where he helped grow their market share in the signoff domain. He then joined the business management team at Cadence where he helped launch a new physical verification solution. After Cadence, Alam joined  Intel Foundry services as a design kit program manager, and then moved into the client compute group as director of product marketing. There, he helped scale Intel's storage business, and developed product strategy for new memory solutions for the PC market.

At ProteanTecs, he's part of a team that’s bringing greater insight into the health and performance of semiconductors across the value chain, from the design stage to in field operation, and all the steps in the middle. 

Panellists

Author:

Venkat Ramesh

Hardware Systems Engineer
Meta

Venkat Ramesh is a Hardware Systems Engineer in Meta's Infrastructure Org. 

 

As a Technical Lead in the Release-to-Production team, Venkat has been at the helm of pivotal initiatives aimed at bringing various AI/ML Accelerator, Compute and Storage platforms into the Meta fleet. His multifaceted technical background spans roles across software development, performance engineering, NPI and hardware health telemetry across hyper-scalers and hardware providers.

 

Deeply passionate about the topic of AI hardware resiliency, Venkat's current focus is on building tools and methodologies to enhance hardware reliability, performance and efficiencies for the rapidly evolving AI workloads and technologies.

... read more

Venkat Ramesh

Hardware Systems Engineer
Meta

Venkat Ramesh is a Hardware Systems Engineer in Meta's Infrastructure Org. 

 

As a Technical Lead in the Release-to-Production team, Venkat has been at the helm of pivotal initiatives aimed at bringing various AI/ML Accelerator, Compute and Storage platforms into the Meta fleet. His multifaceted technical background spans roles across software development, performance engineering, NPI and hardware health telemetry across hyper-scalers and hardware providers.

 

Deeply passionate about the topic of AI hardware resiliency, Venkat's current focus is on building tools and methodologies to enhance hardware reliability, performance and efficiencies for the rapidly evolving AI workloads and technologies.

Author:

Yun Jin

Engineering Director
Meta

Yun Jin currently works as Engineering Director of Infrastructure in Meta Inc where he leads the Meta's strategy of private cloud capacity and efficiency. Before Meta, Yun has been engineering leadership roles for PPLive, Alibaba Cloud, and Microsoft. Yun has worked on large scale distributed systems, cloud and big data area for 20 years.

... read more

Yun Jin

Engineering Director
Meta

Yun Jin currently works as Engineering Director of Infrastructure in Meta Inc where he leads the Meta's strategy of private cloud capacity and efficiency. Before Meta, Yun has been engineering leadership roles for PPLive, Alibaba Cloud, and Microsoft. Yun has worked on large scale distributed systems, cloud and big data area for 20 years.

Author:

Paolo Faraboschi

Vice President and HPE Fellow; Director, AI Research Lab
Hewlett Packard Labs, HPE

Paolo Faraboschi is a Vice President and HPE Fellow and directs the Artificial Intelligence Research Lab at Hewlett Packard Labs. Paolo has been at HP/HPE for three decades, and worked on a broad range of technologies, from embedded printer processors to exascale supercomputers. He previously led exascale computing research (2017-2020), and the hardware architecture of “The Machine” project (2014-2016), pioneered low-energy servers with HP’s project Moonshot (2010-2014), drove scalable system-level simulation research (2004-2009), and was the principal architect of a family of embedded VLIW cores (1994-2003), widely used in video SoCs and HP’s printers. Paolo is an IEEE Fellow (2014) for “contributions to embedded processor architecture and system-on-chip technology”, author of over 100 publications, 70 granted patents, and the book “Embedded Computing: a VLIW approach”. He received a Ph.D. in EECS from the University of Genoa, Italy.

... read more

Paolo Faraboschi

Vice President and HPE Fellow; Director, AI Research Lab
Hewlett Packard Labs, HPE

Paolo Faraboschi is a Vice President and HPE Fellow and directs the Artificial Intelligence Research Lab at Hewlett Packard Labs. Paolo has been at HP/HPE for three decades, and worked on a broad range of technologies, from embedded printer processors to exascale supercomputers. He previously led exascale computing research (2017-2020), and the hardware architecture of “The Machine” project (2014-2016), pioneered low-energy servers with HP’s project Moonshot (2010-2014), drove scalable system-level simulation research (2004-2009), and was the principal architect of a family of embedded VLIW cores (1994-2003), widely used in video SoCs and HP’s printers. Paolo is an IEEE Fellow (2014) for “contributions to embedded processor architecture and system-on-chip technology”, author of over 100 publications, 70 granted patents, and the book “Embedded Computing: a VLIW approach”. He received a Ph.D. in EECS from the University of Genoa, Italy.

Abstract coming soon...

Moderator

Author:

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

 

Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

Accomplishments during his career include:

  • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
  • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
  • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
  • Built the IBM Power Server brand from 14% market share to over 50% share
  • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
  • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

 

Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

 

... read more

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

 

Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

Accomplishments during his career include:

  • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
  • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
  • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
  • Built the IBM Power Server brand from 14% market share to over 50% share
  • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
  • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

 

Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

 

Panellists

Author:

Zairah Mustahsan

Senior Data Scientist
You.com

Zairah Mustahsan is a Staff Data Scientist at You.com, an AI chatbot for search, where she leverages her expertise in statistical and machine-learning techniques to build analytics and experimentation platforms. Previously, Zairah was a Data Scientist at IBM Research, researching Natural Language Processing (NLP) and AI Fairness topics. Zairah obtained her M.S. in Computer Science from the University of Pennsylvania, where she researched scikit-learn model performance. Her findings have since been used as guidelines for machine learning. Zairah is a regular speaker at AI conferences such as NeurIPS, AI4, AI Hardware & Edge AI Summit, and ODSC. Zairah has published her work in top AI conferences such AAAI and has over 300 citations. Aside from work, Zairah enjoys adventure sports and poetry.

... read more

Zairah Mustahsan

Senior Data Scientist
You.com

Zairah Mustahsan is a Staff Data Scientist at You.com, an AI chatbot for search, where she leverages her expertise in statistical and machine-learning techniques to build analytics and experimentation platforms. Previously, Zairah was a Data Scientist at IBM Research, researching Natural Language Processing (NLP) and AI Fairness topics. Zairah obtained her M.S. in Computer Science from the University of Pennsylvania, where she researched scikit-learn model performance. Her findings have since been used as guidelines for machine learning. Zairah is a regular speaker at AI conferences such as NeurIPS, AI4, AI Hardware & Edge AI Summit, and ODSC. Zairah has published her work in top AI conferences such AAAI and has over 300 citations. Aside from work, Zairah enjoys adventure sports and poetry.

Author:

Sravanthi Rajanala

Director, Machine Learning & Search
Walmart Tech

Sravanthi Rajanala is the Director of Data Science and Machine Learning in Walmart's Search Technologies. She began her career in telecom and worked for Microsoft and Nokia before joining Bing Search in 2011 to work in machine learning and search. Sravanthi has led initiatives in query and document understanding, ranking, and question answering. In 2021, she joined Walmart and now leads the Search Core Algorithms, Machine Translation, and Metrics Science. Sravanthi holds a Master's degree in Computational Science from the Indian Institute of Science and a Bachelor's degree in Computer Science from Osmania University.

... read more

Sravanthi Rajanala

Director, Machine Learning & Search
Walmart Tech

Sravanthi Rajanala is the Director of Data Science and Machine Learning in Walmart's Search Technologies. She began her career in telecom and worked for Microsoft and Nokia before joining Bing Search in 2011 to work in machine learning and search. Sravanthi has led initiatives in query and document understanding, ranking, and question answering. In 2021, she joined Walmart and now leads the Search Core Algorithms, Machine Translation, and Metrics Science. Sravanthi holds a Master's degree in Computational Science from the Indian Institute of Science and a Bachelor's degree in Computer Science from Osmania University.

Author:

Selcuk Kopru

Director, Engineering & Research, Search
eBay

Selcuk Kopru is Head of ML & NLP at eBay and is an experienced AI leader with proven expertise in creating and deploying cutting edge NLP and AI technologies and systems. He is experienced in developing scalable Machine Learning solutions to solve big data problems that involve text and multimodal data. He is also skilled in Python, Java, C++, Machine Translation and Pattern Recognition. Selcuk is also a strong research professional with a Doctor of Philosophy (PhD) in NLP in Computer Science from Middle East Technical University.

... read more

Selcuk Kopru

Director, Engineering & Research, Search
eBay

Selcuk Kopru is Head of ML & NLP at eBay and is an experienced AI leader with proven expertise in creating and deploying cutting edge NLP and AI technologies and systems. He is experienced in developing scalable Machine Learning solutions to solve big data problems that involve text and multimodal data. He is also skilled in Python, Java, C++, Machine Translation and Pattern Recognition. Selcuk is also a strong research professional with a Doctor of Philosophy (PhD) in NLP in Computer Science from Middle East Technical University.