Sharing Lessons Learned in Machine Learning Best Practices

Emily is a staff research scientist at Google AI in NYC.  Emily‘s research focus is natural language understanding.  Emily leads a team of researchers and engineers (spread across NYC, Mountain View, and San Francisco) working on making models for language understanding more robust.  Emily received her PhD in Computer and Information Science from the University of Pennsylvania in 2013 and her […]

Professor Anna Choromanska did her Post-Doctoral studies in the Computer Science Department at Courant Institute of Mathematical Sciences in NYU and joined the Department of Electrical and Computer Engineering at NYU Tandon School of Engineering in Spring 2017 as an Assistant Professor. She is affiliated with the NYU Center for Data Science. Prof. Choromanska’s research […]

Neel Sundaresan is a Partner Director at Microsoft Cloud and AI Division where he leads projects in infusing AI into software development. Prior to Microsoft he was the head of eBay Research Labs and eBay Data Labs. He was also a research manager at IBM research and was a founding CTO of a CRM company. […]

Esperanza López Aguilera works in the Kx machine learning team on ML projects that use kdb+ for time-series analytics including for streaming IoT data, precision manufacturing, space analytics, and telecommunications. She has a Bachelor’s Degree in Mathematics from the Universidad de Granada, Spain and a Master’s Degree in Big Data Analytics from the Universidad Carlos […]

Soumith Chintala is a Researcher at Facebook AI Research, where he works on deep learning, reinforcement learning, generative image models, agents for video games and large-scale high-performance deep learning. Prior to joining Facebook in August 2014, he worked at MuseAmi, where he built deep learning models for music and vision targeted at mobile devices. He […]

Amir Sadoughi is a Senior Software Development Engineer in the Amazon AI Labs group, working on Amazon SageMaker algorithms. He is passionate about technologies at the intersection of distributed systems and machine learning.

Renaud Bourassa is a Staff Software Engineer on Slack’s Search and Discovery team, where he works on machine learning systems that help users find the most relevant information. Prior to Slack, Renaud worked at Google where he built systems to detect place visits from user location data. Renaud holds a degree in Software Engineering from the University […]

Rishabh Mehrotra is a Research Scientist at Spotify Research in London. He obtained his PhD in the field of Machine Learning and Information Retrieval from University College London where he was partially supported by a Google Research Award. His PhD research focused on inference of search tasks from query logs and their applications. His current research […]

Alexandra is the Tech Lead for the Platform Team at SigOpt, where she strives to build products that make the state of the art in machine learning effortless to use. She has given tech talks about hyperparameter optimization and machine learning infrastructure at meetups and conferences around the country. Her bachelor’s degree is in Computer […]

Roy is a visionary technologist and AI researcher, as well as the brain behind BondDroid TM. Former CTO of Capital One and Reuters, he has designed and led the development of the Center for Data Science at NYU. He wrote his PhD in Machine Learning on the topic of Predicting the Market Value of Single-Family […]

Madalina Fiterau is an Assistant Professor in the College of Information and Computer Sciences at UMass Amherst. She has completed a PhD in Machine Learning from Carnegie Mellon University (Fall 2015), and a Postdoc at Stanford University (Fall 2018). Madalina is currently expanding her research on interpretable models, in part by applying deep learning to […]

Starting December 2016, Sandhya became a Research Fellow at Memorial Sloan Kettering Cancer Centre. Before that, from October 2014, she was a Research Scientist at the same lab at Columbia University in the City of New York. She received my Ph.D degree from the Department of Mathematics and Computer Science, University of Basel, Switzerland and […]

Liliana is a graduate student in the Data Science Institute at Columbia University. Her areas of interest are applied Machine Learning including Reinforcement and Deep Learning for a variety of industry domains including healthcare, smarter cities and financial engineering. She is passionate about exploring how such data driven analysis could make world a better place. […]

Kerry Weinberg leads Data Science for Digital Health & Innovation at Amgen. Her team focuses on applying emerging data analytic techniques like machine learning and artificial intelligence to improve Amgen’s agility, better reach patients, and improve digital health by better identifying patients, treating them, and enabling their adherence. Prior to this role, Kerry led AI […]

Nitin is a Research Scientist at the AI research group in PayPal Risk Sciences, where he focuses on end-to-end design and development of AI algorithms, particularly deep learning, for large-scale real-time payments fraud detection. His research involves the next generation of fraud detection capabilities by designing novel fraud problem formulations, utilizing the exhaustive PayPal data […]

Dr. Janani Kalyanam obtained her undergraduate degree from Rutgers University, Masters from University of Wisconsin, Madison and PhD from University of California, San Diego – all in Electrical and Computer Engineering.  In her doctoral thesis, she studied machine learning as it applies to social media data, specifically proposing robust models to address scale and noise, […]

LeAnna is a data scientist at Elder Research, where she has worked with several commercial and government healthcare clients.  Her most recent work has focused on mitigating the effects of the opioid crisis, with her earlier healthcare work primarily focused on detecting fraud, waste, and abuse among medical providers. Before joining Elder Research, LeAnna received […]

Niels is a machine learning engineer at Talkspace, where he works with data scientists, clinicians, and product managers to build NLP-powered tools that enhance asynchronous talk therapy. His current work at Talkspace centers around client-therapist matching and early detection and continuous monitoring systems for acute mental health conditions. He holds a Masters in Public Health […]

Dr. Appelbaum, Assistant Professor of the Department of Accounting and Finance at the Feliciano School of Business, Montclair State University, received her PhD from the Department of Accounting and Information Systems at Rutgers Business School, Newark in May 2017. Dr. Appelbaum has published manuscripts in Accounting Horizons, Journal of Emerging Technologies in Accounting, and in […]

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/

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 […]