Featured Freelancer: Dave Kale


Announcing our #FridayFeature series! From this week onward, we will feature a freelancer from our global pool of 2000+ experts every Friday. From Life Sciences to Data Science, we’ve got a wide range of subject specialists on board.

We begin with Dr. David Kale, an alumnus of Stanford University and the University of Southern California. Dr. Kale specializes in using machine learning to extract insights from digital data in high impact domains, including but not limited to health care. His primary interest is in developing robust methods for mining and modeling multivariate time series. Currently, he is modifying and applying recurrent neural networks (RNNs) to clinical time series, which pose many challenges to traditional RNN structures. He is also interested in investigating whether recent breakthroughs in deep reinforcement learning can be used to learn and predict the effects of treatments and interventions.


Data Analysis, Research & Development, Health & Medicine (General), Probability & Statistics, Forecasting & Prediction, Machine Learning, Artificial Intelligence


Want to get in touch with Dr. Kale for a project? Register on www.kolabtree.com!


Kolabtree helps businesses worldwide hire freelance scientists and industry experts on demand. Our freelancers have helped companies publish research papers, develop products, analyze data, and more. It only takes a minute to tell us what you need done and get quotes from experts for free.

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About Author

Ramya Sriram manages digital content and communications at Kolabtree (kolabtree.com), the world's largest freelancing platform for scientists. She has over a decade of experience in publishing, advertising and digital content creation.

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