Christopher Brossman leads the enterprise ML/AI teams and Data Engineering teams that enable scale and profitability at The RealReal. Experienced ML/AI engineer executive with wide track record in creating products that embed computer vision, machine learning, statistical modeling, and optimization to create demonstrable value.

Pranjal helped set up Cisco Innovation Labs after dropping out of his PhD and handles Machine Learning/Product there. He also serves as an Entrepreneur-in-Residence at Vonzos Partners. Previously he conducted ML research at Adobe Research, IBM Research, University of Alberta, Purdue University and Northwestern University. He attended Stanford GSB in the Ignite program and is an On Deck Fellow.

At Google DeepMind, Praneet is a Senior Research Engineer, having previously worked on AI for Industrial Controls in its Applied group. Praneet serves as part of the Technical Program Committee for leading AI venues  such as NeurIPS, ICML and ICLR among others. He is a member of the Confederation of Indian Industry's Artificial Intelligence Task Force. Before DeepMind, he was a  Machine Learning Engineer at Google Cloud. He holds an MS in Electrical and Computer Engineering from Carnegie Mellon University and is an alumni of the Stanford Graduate School of Business Ignite program.

Jen Gennai leads Google’s Responsible Innovation team which is responsible for operationalizing Google’s AI Principles, ensuring that Google’s products have fair and ethical outcomes on individual users and the world. Her team works with product and engineering, leveraging a multidisciplinary group of experts in ethics, human rights, user research, racial justice and gender equity to validate that products and outputs align with our commitments to fairness, privacy, safety, societal benefit and more. Before she co-authored the AI Principles and founded Responsible Innovation, Jen worked on machine learning fairness and founded the Ethical ML team in Trust & Safety.

My name is Dao Ho, I am a Senior Data Scientist at Albertsons. My current focus is personalization. At Albertsons, I have worked on several personalization models such as Buy It Again (ranking past purchases), embedding models for our products and customers. In collaboration with Ankita, I have been working on building a Wide & Deep Neural Network model for recommendations. Before Albertsons, I worked at a research lab for GAC, a Chinese car manufacture, building models to monitor the batteries of 30,000 EVs. Prior to that, I worked at a fintech company modeling market conditions. And finally, I graduated from Carnegie Mellon University with a Ph.D. degree in Physics.

Diego Klabjan is a professor at Northwestern University, Department of Industrial Engineering and Management Sciences. He is also Founding Director, Master of Science in Analytics and Director, Center for Deep Learning. His work is focused on machine learning, deep learning and analytics (modeling, methodologies, theoretical results) with concentration in finance, insurance, sports, and bioinformatics. Professor Klabjan has led projects with large companies such as Intel, Baxter, Allstate, Anthem, and many others. He is also a co-founder of Videspan, LLC after successfully starting Opex Analytics, a Coupa company.

Ledion Lico is a highly experienced IT/Data professional and researcher, working as a data scientist at Paychex. In his current role he has worked on a variety of machine learning and deep learning projects including job title normalization, call transcript data analytics, customer segmentation, growth prediction, and others. Having previously worked as an NLP researcher at the University of Rochester Medical Center, Ledion has studied and researched the most advanced methods utilizing deep learning in NLP. Prior to Paychex, he worked as an IT manager for several years, dealing with various business data processes and platforms. Ledion has a MS degree in Data Science from the University of Rochester and a PhD in Information Technology from the Polytechnic University of Tirana. He has published several papers regarding the utilization of Machine Learning in customer behavior analysis and prediction.

Hien Luu is a Sr. Engineering Manager at DoorDash, leading the Machine Learning Platform team. He is particularly passionate about the intersection between Big Data and Artificial Intelligence. He is the author of the Beginning Apache Spark 3 book. He has given presentations at various conferences such as GHC 2022, Data+AI Summit, XAI 21 Summit, MLOps World, YOW Data!, appy(), QCon (SF,NY, London).

Dr. Ankita Mangal is a Senior Data Scientist at Albertsons Companies. She has a broad experience applying data science & analytics solutions at companies like Procter & Gamble, Robert Bosch and Tata Steel Ltd. She is an accomplished leader in the field of retail and marketing science, who is championing data informed decision making in the Retail and Consumer Packaged Goods industry. Dr. Mangal is passionate about efficient cross functional collaborations for creating successful ML solutions. In her current role, she provides technical leadership, mentorship and develops interpretable and accurate models for business strategy decisions. Dr. Mangal has a doctoral degree from Carnegie Mellon University and is an alumnus of IIT Kharagpur.

James McCaffrey, who annually leads the full-day deep learning workshop at Machine Learning Week, works for Microsoft Research in Redmond, Wash. James has a PhD in cognitive psychology and computational statistics from the University of Southern California, a BA in psychology, a BA in applied mathematics, and an MS in computer science. James learned to speak to the public while working at Disneyland as a college student, and he can still recite the entire Jungle Cruise ride narration from memory.

Mrinal Mohit heads machine learning at Glean, a Sequoia-backed unicorn building the next generation of enterprise search. Mrinal previously worked as a Machine Learning engineer at Facebook, where he built conversational systems powering Facebook Portal, Oculus Quest, and Ray-Ban Stories. His research has been published research at NeurIPS and EMNLP, and he co-created the open source library PyText. He holds a masters from MIT, and a bachelors from IIT.

Long before the buzz surrounding generative AI, Martin Musiol was already advocating for its significance in 2015. Since then, he has been a frequent speaker at conferences, podcasts, and panel discussions, addressing the technological advancements, practical applications, and ethical considerations of generative AI. Martin Musiol is a co-founder of generativeAI.net, a lecturer on AI to over 1000 students, and publisher of the newsletter 'Generative AI: Short & Sweet'. As a Data Science Manager at Infosys Consulting (previously at IBM), Martin Musiol helps companies globally harness the power of generative AI to gain a competitive advantage.

Ayush is the co-founder of TwelveFold, an AI start-up studio, where he manages a portfolio of MLOps and Generative AI companies with entrepreneurs. He also works as the CEO of Censius, an AI Observability platform that helps to optimize AI models' real-world performance.  As a seasoned professional, he has closely worked with customers across industry verticals, AI teams, and research projects to build reliable and compliant AI solutions to solve everyday business problems and scale models at production.

I'm currently a Machine Learning Engineer at Stripe. Previously, I worked at a small AI start up Node, acquired by Sugar CRM, and BlackRock.

I'm also the USA Ambassador of WomeninAI, a global nonprofit. Most recently, I volunteered to help build COVIDNearYou with Harvard Medical School and Boston Children’s Hospital, which was featured on CNBC. I share my AI expertise with venture capital and technology policy as an Advisor for Oxylabs, Alumni Venture Group Fellow and Lincoln Network Policy Hacker Fellow. I've also been recognized as a Google Developer Expert and Google Woman Techmaker.

I've spoken about artificial intelligence at meet-ups and conferences around the world, including but not limited to, O'Reilly AI, O'Reilly Tensorflow World, and Pyladies. I've also been featured in the Wogrammer, the AI Journal, Elpha, and CNBC.

Personal Website: www.pujaarajan.com

Dan works as the Head of Machine Learning at Abnormal Security, where he builds cybercrime detection systems to keep people and businesses safe. Cybercrime is always changing as attackers innovate, and the detection organization at Abnormal Security must stay ahead of these innovations. As the Head of Machine Learning, Dan works to optimize the detection organization's ability to anticipate these innovations, iterate and improve.

Before joining Abnormal Dan worked at Twitter: first as an ML researcher working on recommendation systems, and then as the engineering manager for the web ads machine learning team. Before Twitter Dan built smartphone sensor algorithms at TrueMotion and Computer Vision systems at the Serre Lab. Dan's PhD at the University of Oxford focused on the applications of Category Theory to Machine Learning.

David Talby is the Chief Technology Officer at John Snow Labs, helping companies apply artificial intelligence to solve real-world problems in healthcare and life science. David is the creator of Spark NLP the world's most widely used natural language processing library in the enterprise. He has extensive experience building and running web-scale software platforms and teams – in startups, for Microsoft's Bing in the US and Europe, and to scale Amazon's financial systems in Seattle and the UK. David holds a Ph.D. in Computer Science and Masters degrees in both Computer Science and Business Administration. He was named USA CTO of the Year by the Global 100 Awards and GameChangers Awards in 2022.

Evan Wimpey was a Financial Management Officer in the Marine Corps and an Operations Associate at Goldman Sachs prior to joining Elder Research as a Data Scientist. He holds master's degrees in Economics from East Carolina University and in Analytics from North Carolina State University. He is currently the Director of Strategic Analytics at Elder Research. Evan has a passion for cryptocurrency and exploring more equitable access to credit markets. Evan lives in Cary, NC with his wife and two sons.