Liquid AI
Neehal Tumma is a Machine Learning Scientist at Liquid AI since March 2024, with prior experience as a Research Assistant at the MIT Computer Science and Artificial Intelligence Laboratory from January 2023 to February 2024, focusing on the dynamics of recurrent neural networks. Earlier roles include a Quantitative Research Intern at Citadel in summer 2022, where a model was developed to forecast spread costs in equities, and a Machine Learning Engineer Intern at TikTok in summer 2021, contributing to a new recommendation algorithm for video content. Neehal is currently pursuing a PhD in Machine Learning at the Massachusetts Institute of Technology, along with a Master's degree in Computer Science from Harvard University, where a Bachelor's degree in Mathematics and Computer Science was also completed. A high school diploma was obtained from Port Huron Northern High School in 2019.
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Liquid AI
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Our mission is to build state-of-the-art, general-purpose AI systems that are capable, efficient, highly aligned, and trustworthy.