Guillermo Etchebarne holds a BSc in Electrical Engineering with focus on Signal Processing and Machine Learning from Universidad de la República. He has experience building scalable, end-to-end Machine Learning solutions in computer vision, predictive analytics and more recently marketing personalization projects. His interests include deep learning, reinforcement learning and its applications in the industry, game […]

Karthik is the Engineering Manager for the ML Training Infrastructure team at Pinterest. He has worked at the Pinterest on Data and ML systems for over 6 years. Previously he was at Twitter working on scheduling containers with Mesos and Aurora and before that with Sumologic working on Alerting and Dashboards backend.

Scott Zoldi is chief analytics officer at FICO responsible for advancing the company’s leadership in artificial intelligence (AI) and analytics in its product and technology solutions. At FICO Scott has authored more than 120 analytic patents, with 76 granted and 47 pending. Scott is actively involved in the development of analytics applications, Responsible AI technologies and […]

Vin Sharma is VP of Engineering at Foursquare, where he drives innovation across the company’s geolocation technologies. Before joining Foursquare, he served as the General Manager and Director for Machine Learning Systems at Amazon Web Services, helping build a platform for deep learning models. Prior to that, he led the development of cloud platforms for […]

Julien is currently Chief Evangelist at Hugging Face. He previously spent 6 years at Amazon Web Services where he was the Global Technical Evangelist for AI & Machine Learning. Prior to joining AWS, Julien served for 10 years as CTO/VP Engineering in large-scale startups.

Matar Haller leads Data & AI at ActiveFence, where her teams are responsible for the data and algorithms which fuel ActiveFence’s ability to ingest, detect and analyze harmful activity and malicious content at scale in an ever-changing, complex online landscape. Matar holds a Ph.D. in Neuroscience from the University of California at Berkeley, where she […]

Amey Porobo Dharwadker has over a decade of experience in Artificial Intelligence (AI) and Machine Learning (ML), both from an academic and industrial standpoint. He works as a Machine Learning Technical Lead at Meta (Facebook), where he leads the Video Recommendations Core Ranking team responsible for developing personalization models used by billions of users around […]

Christy is a senior data scientist specializing in customer experience and insights at Lumen Technologies. She primarily builds machine learning models that help drive customer centricity goals and demonstrate the business impacts of customer loyalty economics and predictive customer health. Before joining Lumen, Christy obtained a PhD in computer science and engineering, specializing in applying […]

Alexander Sidorov is Principal Software Engineer @ Cruise with over a decade of experience building ML Infrastructure. At Cruise Alexander is the TL of ML Platform and focused on distributed training, data processing & loading, orchestration, model deployment and other areas. In the past at Meta AI he led various areas in PyTorch, Caffe2, ML […]

Dr. Sarang Aravamuthan is a Principal Scientist at Global AI Accelerator (GAIA), Ericsson and is currently involved in data science projects in the general area of telecommunication systems. His work involves analyzing large volumes of data and regular interactions with the stakeholders. Of late, his research has been in the area of NLP, class imbalance […]

Dr. Mehdi Bahrami is a Member of Research Staff at Fujitsu Research America, Sunnyvale, California. He has published several technical papers in the areas of AutoML, Natural Language Processing (NLP), and API integration. Mehdi has more than 15 years of software industry experience and more than 5 years academic experience in the field of computer […]

Vinutha Kallem is a Product lead for Behavior Prediction for autonomous vehicles at Waymo. She has expertise in robotics and autonomy ranging from legged robots, medical robots, drones to most recently self-driving cars. With stints across research, engineering, and product, Vinutha is passionate about using autonomy to improve quality of life. Vinutha holds a PhD […]

Dr. Lei Tang, is the co-founder and CTO of Fabi.ai. He was formerly the director of Data Science at Lyft. Lei received his Ph.D. in computer science from Arizona State University, with a focus on machine learning and data mining. For the past 13 years, he has dedicated his efforts to building machine learning systems […]

Mahnoosh is a Senior Principal Scientist at Interactions, currently focused on several areas of Natural Language Understanding and Conversational AI. She completed her PhD in Electrical Engineering – Signal Processing at The University of Texas at Dallas in 2013. The focus of her graduate research was on studying the impact of speaking style on speech […]

Hi everyone, my name is Jianqiang (Jay) Wang. I received my Ph.D. degree in Statistics from Iowa State University, and have worked in both San Francisco bay area and China for 13 years post graduation. My main focus is in data science, machine learning and natural language processing. My most recent experience was to lead […]

Zachary Hanif is Capital One’s Vice President of Machine Learning, currently working to democratize and de-risk access to modeling capabilities across a data-driven enterprise. He has a career background focused on applications of machine learning and advanced modeling innovation, research, and product delivery across diverse problem domains in startups and large enterprises. Zachary is passionate […]

Dr. Ali Arsanjani is Director of Cloud Partner Engineering at Google Cloud, building strategic partnerships through co-innovation with Google’s largest partners, ISVs and GSIs . He specializes in AI/ML and Data/Analytics to enable customers and partners to run on, integrate with and build upon the Google Cloud Platform for AI/ML and Data/Analytics use-cases that explore […]

From Physics, to Neuroscience, to Tech. Analytical thinker with a deep passion for solving complex problems and storytelling with data. Currently with the Guest & Host Experience team @ Airbnb, focusing on elevating the user experience through rigorous experimentation and measurement.

Eitan is the Chief Data Scientist at Bill.com and has many years of experience as a researcher. His recent focus is in machine learning, deep learning, applied statistics and software engineering. Before, he was a Postdoctoral Scholar at Lawrence Berkeley National Lab, received his PhD in Physics from Boston University and his B.S. in Astrophysics […]

Dr. Sherin Mathews is a Principal Research Scientist within the A.I. Innovation Team at U.S. Bank. In this role, she develops innovative solutions at the intersection of A.I. & security in financial services. Her work involves developing transformative next-generation A.I. security solutions. Prior to her role at U.S. Bank, Sherin held research positions at Mcafee, […]

Armand Ruiz is the director of the IBM Data Science & AI Elite, a team of data scientists that help customers get started with their digital transformation and AI adoption. Previously Armand led the Product Management team in charge of the Data Science and Machine Learning offerings at IBM. He holds a Master’s in Electrical Engineering at Université […]

Binwei is a Distinguished Data Scientist with a PhD in atomic physics and an MS in computer engineering. His current interests span across computer vision and tooling for better ROI on data science. Binwei is a frequent contributor to Medium blog on applied AI topics that include semi-supervised image classification and multimodal product categorization. He […]

Leah McGuire is the tech lead for the Automation and Analytics teams at Benchling, working on integrating with laboratory equipment and providing tools to analyze the results of scientific experiments. Before joining Benchling, Leah was a Machine Learning Architect at Salesforce, building AutoML capabilities for Salesforce Einstein. She got her start in datascience at LinkedIn, […]

Jonathan Jin is a senior engineer at Spotify working on machine learning platform and infrastructure. Previously, he has worked on AI infrastructure for NVIDIA and Twitter. He has also worked on observability infrastructure at Uber.

Research Scientist at Meta AI

Srinivas Sridhara, PHD MHS is SVP & GM Clinical Transformation and Risk at Optum Labs, where he builds AI-powered products to augment clinical decisions and transform clinical risk management. He previously led Optum enterprise ML product and data teams serving payer, provider, and life sciences sectors, with use cases varying from fraud detection and logistics […]

Mathieu d’Acremont is a technical lead for two analytics teams at CVS Health with academic and industry experience in behavioral economics and digital healthcare. Play an influential role in experimental design, outreach optimization, and campaign evaluation across Consumer Analytics by organizing internal workshops and advertising scientific best-practices. Co-founded 2 Centers of Excellence in the organization […]

Dr. Harvey J. Stein left Bloomberg in March 2022 after a distinguished 28 3/4 year career where he built quant and engineering teams and introduced a variety of innovations in option pricing, computation and risk analysis. Dr. Stein is well known in the industry, having published and lectured on credit risk modeling, financial regulation, interest […]

Gideon Mendels is CEO and co-founder of Comet, a New York-based MLOps company that provides a self-hosted and cloud-based platform for teams to track, compare, explain, monitor, and optimize machine learning training runs and models in production. Previously, Gideon founded GroupWize, whose team trained and deployed more than 50 natural language processing (NLP) models in […]

Alexander H. Miller is a Research Engineering Manager at Meta AI. He’s worked primarily on conversational AI (Key-value Memory Networks, ParlAI dialogue framework) and natural language processing (LAMA), but recently got hooked by the mercurial promises of reinforcement learning (NetHack Learning Environment). He started as a Research Engineer in New York, spent two years in […]

Sherard Griffin has been at Red Hat since 2017 and is currently the Director of AI Services in Red Hat Engineering. His responsibilities include the development of Red Hat OpenShift Data Science, a new managed service for data scientists to quickly develop, train and test models in cloud environments. Sherard has spent his time at […]

Yuyu Fan is a senior data scientist in the data science team. She leverages statistical, machine learning, and deep learning models to distill insights from financial data. Yuyu leads projects using latest NLP techniques to generate investment signals from text data. She also works on projects aiming to improve engagements and sales process with clients. […]

Marius is a Chief Solutions Architect in the Financial Services team at Red Hat, where he acts as trusted advisor on industry trends, technology strategy, and best practices to more than 30 Fortune 500 banks in the US and Canada. Using his expertise in modern application development and data strategy, Marius is helping customers accelerate […]

Emily Bailey is the Sr. Director of Machine Learning Engineering at Rent the Runway. Her team works across the business to optimize both internal operations and the customer experience, with particular focus on relevance engineering and computer vision applications. Prior to joining Rent the Runway in 2020, she spent her career leading teams and solving […]

Olga Kononova, Ph.D., is a Senior Research Investigator in Scientific Computing at Roivant Sciences. Her professional background merges mathematics, chemistry, and computer sciences with an extended scientific experience in computational biochemistry and materials science. Olga has accomplished two Ph.Ds: one in Physics and Applied Mathematics from the Moscow Institute of Physics and Technology, another in […]

Emeli Dral is a Co-founder and CTO at Evidently AI, a startup developing open-source tools to evaluate, test and monitor the performance of machine learning models. Earlier, she co-founded an industrial AI startup and served as the Chief Data Scientist at Yandex Data Factory. She led over 50 applied ML projects for various industries – […]