cv
Basics
Name | Abhishek Sharma |
Label | PhD Candidate |
abhisheksharma@g.harvard.edu | |
Summary | PhD Candidate at Harvard University working on decision-focused models, representation learning, and reinforcement learning with applications in healthcare. |
Work
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2024.05 - 2024.08 Student Researcher
Google Research
Worked on foundation modeling efforts for waveform data in healthcare. Proposed a new self-supervised learning method to learn interpretable representations.
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2022.05 - 2022.08 Research Intern
Mitsubishi Electric Research Labs (MERL)
Built a density model of time-to-destination for better uncertainty quantification, applied to elevator scheduling.
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2020.09 - Present Graduate Researcher
Harvard University
Worked on decision-focused models, representation learning, and reinforcement learning for healthcare. Developed methods for feature selection using prediction-focused mixture models and reward transfer in model-based RL.
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2019.05 - 2019.08 Machine Learning Intern
Qualcomm
Applied sequence modeling to system-on-chip design and coreset selection for training data compression.
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2019.05 - 2020.08 Graduate Researcher
University of Massachusetts Amherst
Proposed a state-space model using variational autoencoders to model patient trajectories in electronic health records.
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2015.01 - 2017.01
Education
Awards
- 2021.01.01
Certificate of Distinction in Teaching
Harvard University
CS 282R (Task-focused Generative Models and Inference)
- 2023.01.01
Top-10% Reviewer, AISTATS
AISTATS
Skills
Programming Languages/Frameworks | |
Python | |
PyTorch | |
JAX | |
TensorFlow |
Machine Learning | |
Probabilistic Modeling | |
Deep Learning | |
Reinforcement Learning | |
Representation Learning | |
Statistics | |
Foundation Models | |
Self-Supervised Learning |
Languages
English | |
Fluent |
Hindi | |
Native |
Interests
Reinforcement Learning | |
Safe Policy Improvement | |
Model-based RL | |
Decision-Focused Models |
Representation Learning | |
Self-Supervised Learning | |
Foundation Models |
Healthcare Applications of Machine Learning |