Rajarishi Sinha
Raj Sinha is a Research Engineer at Google Cloud AI Research. Before joining Cloud AI Research, he worked on a Cloud AI applied ML team. Prior to joining Google, he was a Research Scientist and Co-Founder at a MEMS (Microelectromechanical Systems) and analog IC startup. He received his PhD in Engineering from Carnegie Mellon University. He has broad interests, including natural language processing, robotics and machine learning theory.
Authored Publications
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Google
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL
Satya Gundabathula
Hanjun Dai
TMLR (2024)
SQLPrompt: Improved In-context Learning for Few-shot Text-to-SQL
Hanjun Dai
Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP) (2023)
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan
Joel Shor
Arkady Epshteyn
Ashwin Sura Ravi
Beth Luan
Chun-Liang Li
Daisuke Yoneoka
Dario Sava
Hiroaki Miyata
Hiroki Kayama
Isaac Jones
Joe Mckenna
Johan Euphrosine
Kris Popendorf
Nate Yoder
Shashank Singh
Shuhei Nomura
Thomas Tsai
npj Digital Medicine (2021)
Interpretable Sequence Learning for Covid-19 Forecasting
Chun-Liang Li
Arkady Epshteyn
Shashank Singh
Martin Nikoltchev
Yash Kumar Sonthalia
NeurIPS (2020)
