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Arvind Thiagarajan

Arvind Thiagarajan

ML and Biological Engineering Leader in Drug Discovery

Cambridge, Massachusetts
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Summary

Arvind Thiagarajan is a Co-Founder and CTO at Tessel Bio, where he leverages his extensive background in machine learning and biological engineering to drive innovation in drug discovery. His work focuses on developing rapid, systematic, and sample-efficient computational models to accelerate the process from disease identification to approved treatments. tessel+1
His expertise spans across various high-impact fields, including applying data science to healthcare at Verily Life Sciences for COVID-19 forecasting models, contributing to AI research for drug discovery at BenevolentAI, and developing large-scale machine learning systems for content ranking at Twitter. researchgate+2
Arvind holds multiple degrees from the Massachusetts Institute of Technology (MIT), including a B.Sc and M.Eng in Electrical Engineering & Computer Science, a B.S. in Biological Engineering, and a minor in Mathematics & Physics. His academic foundation is marked by innovative research, such as developing a sugar-powered battery from engineered bacteria and pioneering mobile sensing technologies for traffic estimation. mit+4
He is an inventor with several patents in machine learning technologies, including aggregate features for ML, and medical monitoring devices. His contributions demonstrate a blend of theoretical knowledge and practical application, particularly in areas concerning data processing, algorithmic efficiency, and biomedical innovation. justia

Work

Education

Projects

Writing

Ranking Tweets with TensorFlow

March 1, 2019

Co-authored a TensorFlow blog post detailing how Twitter uses TensorFlow to rank tweets on the home timeline, highlighting his work on large-scale machine learning systems for content relevance.

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Dropoutnet: Addressing Cold Start in Recommender Systems

January 1, 2017

Co-authored a research paper presented at NIPS 2017, focusing on improving recommender systems by addressing the cold start problem, a key challenge in machine learning applications.

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Code in the Air: Simplifying Sensing on Smartphones

January 1, 2010

Co-authored research during his MIT tenure on simplifying sensing and coordination tasks on smartphones, contributing to advancements in mobile technology and distributed systems.

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VTrack: Accurate, Energy-Aware Road Traffic Delay Estimation Using Mobile Phones

January 1, 2009

Co-authored a paper from his time at MIT, focusing on developing a system for accurate and energy-efficient road traffic delay estimation using mobile phone data, demonstrating early work in mobile sensing and data analysis.

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Aggregate Features for Machine Learning

Co-invented patents related to utilizing aggregate features for machine learning, indicating contributions to the foundational techniques for data processing and model training in various applications, including social media.

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Systems and Methods for a Personal Medical Monitoring Device

Co-invented patents concerning personal medical monitoring devices and systems for measuring patient vital signs, showcasing his expertise in applying technology to healthcare and life sciences.

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Hobbies

Enjoys biking, badminton, history, and getting 'nerd-sniped,' showcasing a blend of physical activities and intellectual curiosity. tessel