Summary
Arushi Jain is an AI research scientist with nine years of experience bridging theoretical reinforcement learning and real-world applications, currently building intelligent, personalized LLMs for life sciences at Lila Sciences. A PhD graduate from McGill/Mila advised by Doina Precup, her work focuses on safe RL, exploration, and representation learning with internships and research roles across MetaAI, Amazon, Microsoft, and Borealis translating theory into production-relevant solutions. She has applied RL to recommender systems, molecular drug modeling, and behavioral metrics for agents, and has contributed novel unsupervised exploration and successor-feature representation methods. Based in Greater Boston, she pairs rigorous academic grounding with industry impact and an unusual blend of interests: optimizing long-term agent objectives while designing user-centric personalization for large models. Outside work she pursues outdoor endurance through hiking and biking, reflecting a practical, iterative approach to complex problems.
9 years of coding experience
1 year of employment as a software developer
Class XII, Science, 93.6%, Class XII, Science, 93.6% at A.S.N. Sr. School, Mayur Vihar, Delhi
Bachelor of Technology (B.Tech.), Computer Science(CSE), 9.4 CGPA, Bachelor of Technology (B.Tech.), Computer Science(CSE), 9.4 CGPA at Indraprastha Institute of Information Technology, Delhi
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at McGill University
English, Hindi