Sharing Lessons Learned in Machine Learning Best Practices

Jamila Smith-Loud is a User Researcher on Google’s Trust and Safety team. She uses research to advocate for diverse needs and perspectives. Her work helps shape how Google puts our AI Principles for fairness and inclusion into action. Prior to joining Google, Jamila was the Manager of Strategic Initiatives at a Los Angeles-based civil rights […]

Dr. June Andrews works on AI Instruments at Stitch Fix. Previously, she led building a Monitoring & Diagnostics platform for GE’s airplane engines in use today. The platform has since been extended to turbines in renewable energy and power plants. At Pinterest, June created the Signals Program, a feature store, supporting over 50 ML engineers. […]

Ted Willke leads a team that researches large-scale machine learning and data mining techniques in Intel Labs. His research interests include parallel and distributed systems, image processing, machine learning, graph analytics, and cognitive neuroscience. Ted is also a co-principal investigator in a multi-year grand challenge project on real-time brain decoding with the Princeton Neuroscience Institute. […]

Franziska Bell is a Senior Data Science Manager on the Platform Team at Uber, where she founded the Anomaly Detection, Forecasting Platform and Natural Language Platform teams. In addition, she leads Applied Machine Learning, Behavioral Science, and Customer Support Data Science. Before Uber, Franziska was a Postdoc at Caltech where she developed a novel, highly […]

Bradley Voytek is an Associate Professor in Cognitive Science, Data Science, and the Neurosciences Graduate Program at UC San Diego. He is an Alfred P. Sloan Neuroscience Research Fellow and National Academies Kavli Fellow, and a founding faculty member of the UC San Diego Data Science major and the Halıcıoğlu Data Science Institute. He was […]

Xavier Amatriain is co-founder and CTO of Curai, a health-tech startup using AI to provide the world’s best healthcare to everyone. Previous to this, he was VP of Engineering at Quora, and Research/engineering Director at Netflix, where he led the team building the famous Netflix recommendation algorithms. Before going into leadership positions in industry, Xavier […]

Mihajlo Grbovic holds a Ph.D in Machine Learning from Temple University in Philadelphia. He has more than 10 years of technical experience in applied Machine Learning, acting as a Science Lead in a portfolio of projects at Yahoo and now at Airbnb. During his time at Yahoo, from 2012 to 2016, he worked on integrating […]

Josh Wills is a Software Engineer at Slack. Previously, Josh was the Head of Data Engineering at Slack. Prior to Slack, he built and led data science teams at Cloudera and Google. He is the founder of the Apache Crunch project, co-authored an O’Reilly book on advanced analytics with Apache Spark, and wrote a popular […]

Jekaterina Novikova is a Director of Machine Learning at Winterlight Labs. Winterlight Labs is a Toronto-based Canadian company that is developing a novel AI-based diagnostic platform that can objectively assess and monitor cognitive health. Jekaterina’s work explores artificial intelligence in the context of language understanding, characterizing speaker’s cognitive, acoustic and linguistic state, as well as […]

Igor L. Markov is a Professor at University of Michigan and has occasionally taught at Stanford. Dr. Markov previously worked at Google and he currently works at Facebook. He received his M.A. in Mathematics and Ph.D. in Computer Science from UCLA. He is an IEEE Fellow and an ACM Distinguished Scientist. Igor is interested in […]

Sneha is a Software Development Engineer with the Personalization team at Amazon. Her work involves using customer behavior data to guide hypothesis-driven experimentation and developing highly personalized recommendation experiences for Amazon customers. She holds a Master’s degree in Computer Science (Machine Learning) from the University of Pennsylvania. She’s passionate about AI and working with data. […]

Anitha Kannan is a founding member at Curai where she works on AI-driven disruptive solutions to healthcare. Prior to Curai, she has held senior research positions at Facebook AI research and at Microsoft research. Her research impacted products at Microsoft for which she has received many technical awards, including multiple Gold Star awards. She holds […]

Justin Armstrong is a subject matter expert in the industrial application of machine learning technology. With over 12 years of professional software experience, Armstrong is currently Compology’s Senior Backend Engineer specializing in applied machine learning, algorithm design and data quality engineering. Armstrong holds a BSe from Tulane University in Mechanical Engineering, graduating with departmental honors. […]

Òscar Celma is currently VP of Data Science at Pandora, where he leads a team of scientists and musicologists to provide the best personalized audio experience tuned to the moment you’re in. From 2011 till 2014 Òscar was Senior Research Scientist at Gracenote. His work focused on music and video recommendation and discovery. Before that […]

Meghana is a machine learning engineer at SigOpt with a particular focus on novel applications of deep learning across academia and industry. In particular, Meghana explores the impact of hyperparameter optimization and other techniques on model performance and evangelizes these practical lessons for the broader machine learning community. Prior to SigOpt, she worked in biotech, […]

Anoop Deoras is an applied researcher at Netflix where he leads various deep learning projects spanning several products from recommendations to search to home page construction to machine translation for localization. Before joining Netflix, he was working with Microsoft working on Cortana, a virtual personal assistant, innovating and applying advances in spoken language understanding technologies. […]

Martin Isaksson is Co-Founder and CEO of PerceptiLabs, a startup focused on making machine learning easy. PerceptiLabs created a flexible machine learning platform that gives developers full transparency into the process of machine learning models’ development. Martin received his M.Sc. in Robotics/Artificial Intelligence from the Royal Institute of Technology and UPC Barcelona in 2017. In […]

Noam Finkelstein is a PhD student in the computer science department of the Johns Hopkins University. His research is in health care applications of machine learning, from cancer genetics to acute deterioration monitoring with electronic medical record data.

Vinay Prabhu is currently on a mission to model human kinematics using motion sensors on smartphones paving the way for numerous breakthroughs in areas such as passive password-free authentication, geriatric care, neuro-degenerative disease modeling, fitness and augmented reality. He is currently the Chief Scientist at UnifyID Inc and has over 30 peer reviewed publications in […]