I am a Ph.D. student in Operations Research and MS student in CS at Berkeley AI Research Lab (BAIR), UC, Berkeley.
I am a member of the Automation Lab advised by Ken Goldberg and I also work closely with Pieter Abbeel, Alper Atamturk and UCSF Radiation Oncology.

I study the interaction of data-driven Learning for Autonomy and Design for Automation for human skill-augmentation and decision support. My research spans Operations Research, Machine Learning, Robotics and Design, combining theory with experiments.
Research Interests: Optimization (Mixed Integer, Non-convex), Machine Learning and Co-Design for Automation in Healthcare & Robotics.

Contact me: animesh·garg@berkeley·edu
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In my Ph.D., I have primarily worked on algorithmic solutions for challenges in:

Learning & Automation in Surgical Subtasks
We are working towards surgical sub-task automation and exploring a data driven approach for reduction in training effort with unsupervised task structure learning. Read More
Brachytherapy for Cancer: Planning and Delivery
Brachytherapy is an internal form of radiotherapy for cancer, involving radioactive source placement in proximity of the tumor. We have worked on novel patient specific delivery methods for interstitial (e.g. prostate) and intracavitary (e.g. oral/thoracic, GYN) tumors. Read More

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