Paul Barba is the Chief Scientist of Lexalytics, where he is focused on applying force multiplying technologies to solve artificial intelligence-related challenges and drive innovation in AI even further. Paul has years of experience developing, architecting, researching and generally thinking about AI/machine learning, text analytics and natural language processing (NLP) software. He has been working […]

Cristine Marsh is a data scientist on the Data Science fraud team at Affirm. She is currently working on models to prevent fraud. Cristine is passionate about fair and explainable ML and using data science to improve lives.

Somnath Banerjee is the head of shopping discovery at Pinterest. He and the team is responsible for developing the most personalized, visual and inspirational Shopping experience for the users. The team applies cutting edge machine learning and deep learning techniques in recommendation, search and whole page optimization. Previously, Somnath was a director of machine learning […]

Anqi (Angie) Liu is a machine learning researcher and postdoctoral scholar at the Department of Computing and Mathematical Sciences in Caltech. She obtained her Ph.D. from the Department of Computer Science of the University of Illinois at Chicago. She works on distributionally robust learning, distribution shift, and interactive machine learning. She is interested in machine […]

Galina Grunin is a Distinguished Engineer in the Advanced Technology Collaborative team at Optum, UnitedHealth Group, with a focus on Deep Learning. She is a hands-on IT practitioner with expert knowledge and experience in deep learning, orchestration and pattern deployment, cloud computing architecture, software-defined storage, software-defined networking, adapting legacy systems for cloud, web technologies, and […]

John Maiden is a Software Engineer, Machine Learning, building content recommendation systems at Meta’s Reality Labs. Prior to Meta John built knowledge graphs for real estate, and worked at JP Morgan Chase, where he led a team that produced personalized insights that were delivered directly to millions of Chase customers. He has a BA from […]

Vidhya is an engineer manager leading a Machine Learning team focussed on personalization for Voice at Spotify. She has domain interests in machine learning and has a passion for building ML powered products. Prior to becoming a manager, she was a staff ML engineer leading and working on efforts that enable users discover their next […]

Agustin is a machine learning engineer at Tryolabs with a special focus on computer vision. Over the past years, Agustin has been part of several projects, ranging from lion face detection and identification, to image inpainting using GANs. Currently, he is working on a challenging CV project that highly accelerates the production line for one of the biggest […]

Tianshi Gao, Ph.D. is the Principal AI Scientist at Cruise. He is a machine learning expert and a published author with over a decade of experience. Before joining Cruise, Tianshi was the lead machine learning (ML) scientist and engineer at Facebook. He led and scaled a team of 50+ ML engineers, scientists, and managers to […]

Chief Data Scientist, Arena; Chief Data Scientist, Adaptive Management; Director of Research, In-Q-Tel; Applied Research Mathematician, U.S. Government; Ph.D. Mathematics, University of Michigan

Dan Gifford is a Senior Data Scientist responsible for creating data products at Getty Images in Seattle, Washington. Dan works at the intersection between science and creativity and builds products that improve the workflows of both Getty Images photographers and customers. Currently, he is the lead researcher on visual intelligence at Getty Images and is […]

Topojoy currently leads information extraction on text and videos in Yahoo Knowledge Graph which powers search and information organization in products in Yahoo! like Finance, Sports, entity search and browse. He has worked on Yahoo Knowledge Graph (YK) for 4 years on various aspects of creating knowledge graphs like reconciliation of source graphs, type classifying […]

Stanislav Selitskiy is an Information Technology professional with almost 30 years experience doing research and development in a wide range of domains: from scientific numeric simulation to financial applications, from telecommunication and Internet service provider areas to machine learning in biometrics and NLP. He received his Master of Science degree in the Moscow State Technical […]

I completed a PhD in Neuroscience, focusing on the genetics and psychopharmacology of decision-making, impulsivity, and addiction. After my first postdoc, I had the opportunity to switch to industry where I could apply my skills to interpreting genetics through a direct-to-consumer model. I’m on the Health Product R&D team at 23andMe, where I use machine […]

Adam Van Etten is the Chief Data Scientist for In-Q-Tel, where he focuses on applied machine learning topics of interest to the US Government. His most recent research has been in the geospatial analytics realm, where he applies machine learning and computer vision techniques to satellite imaging data. Adam currently focuses on managing and assisting […]

Madeleine Gleave is the Chief Data Scientist at Nithio, where she leads the data team in utilizing machine learning for unparalleled consumer risk analytics across Africa. Ms. Gleave was previously at Dharma.ai where she led implementation of end-to-end data management software for major iNGOs and companies. Prior to her work in social impact startups, Ms. […]

Jake is a researcher and geographer specializing in geospatial machine learning and computer vision. His research with satellite imagery focuses on time series analysis, super-resolution, and object detection with overhead imagery. Jake also is leading SpaceNet 6, a sensor fusion challenge featuring both synthetic aperture radar and electro-optical remote sensing data for foundational mapping.

Dr. Vito Ostuni is a Staff Scientist on the Listeners Science team at Pandora where he leads the science behind voice and search. He holds a Ph.D. in Electrical and Information Engineering from Polytechnic University of Bari, Italy. His main interests are recommender systems, search and machine learning. He is author of 15 peer reviewed […]

Roger is a lead platform engineer at Salesforce, with diverse engineering, product, and evangelism experience. He has broad experience with technologies, industries, and scales of operation, including winning over 15 hackathons, founding a startup which went on to Techstars and acquisition, consulting on machine learning projects, and sharing his expertise at conferences and meetups.

Andrea Gagliano, Senior Director, Head of Data Science at Getty Images leads the AI/ML Team responsible for improving visual search. Andrea believes in the power of machine learning to support and improve creative experiences. Andrea’s graduate studies were at UC Berkeley where she researched machine learning and creativity.

Bill Wright is the head of AI/ML business development and technical strategy for global verticals at Red Hat. He is also a member of the Red Hat AI ILT, and participates in the ETSI ENI working group, to establish standards for the use of AI/ML in mobile network operations. He was the former Director of […]

Puntis Palazzolo is a Sr. Data Scientist at SAP where she manages the SAP Big Data solution, SAP Data Hub, Developer-focused and Advanced Analytics topics in her role in SAP Data Hub/SAP Data Intelligence Product Management team. She has more than a decade of experience in software design and development, machine learning systems and database […]

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

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 […]

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 […]

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 […]

Meghana has worked with machine learning in academia and in industry, and is happiest working on natural language processing. Prior to SigOpt, she worked in biotech, employing NLP to mine and classify biomedical literature. When she’s not reading papers, developing models/tools, or trying to explain complicated topics, she enjoys doing yoga, traveling, and hunting for […]

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. […]

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 […]

Dr. June Andrews builds and leads teams tackling cutting edge industry problems. She currently leads the Search Sciences team at Nike, tackling how to balance consumer expectations and inventory optimizations. Previously, she led the Style Discovery team at Stitch Fix, using data to help guide investments in new inventory. She led building the first real-time […]

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.

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. […]

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. […]

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 […]

Reshama Shaikh (https://reshamas.github.io) is a data scientist/statistician and MBA with skills in Python, R and SAS. She worked for over 10 years as a biostatistician in the pharmaceutical industry. She is also an organizer of the meetup groups NYC Women in Machine Learning & Data Science (http://wimlds.org) and PyLadies.  She received her M.S. in statistics […]

Part software engineer, part data scientist and fully a father to two energetic children. The rest of the details here: https://www.linkedin.com/in/shayakb/