Scholar
Mudit Verma
Google Scholar ID: 8TtypKwAAAAJ
Google
Citations & Impact
Citations
1,262
H-index
12
i10-index
15
Publications
20
Co-authors
10
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Ph.D. dissertation: 'Guidance Priors to Reduce Human Feedback Burden in Sequential Decision Making' (2024).
- Paper 'Hindsight PRIORs for Reward Learning from Human Preferences' accepted at ICLR 2024.
- Work 'Symbol Guided Hindsight Priors for Reward Learning from Human Preferences' presented at IROS RLCONFORM and NeurIPS HILL 2022.
- Awarded Best Intern Project at SSIR in 2018; finalist in 2017.
- Gold Medalist during undergraduate studies with a CGPA of 9.51/10.0.
Research Experience
- Sept. 2024 – Present: Research Scientist at Google LLC, Gemini/Bard group, Mountain View, CA, USA.
- Summer 2023: Machine Learning Research Intern at Apple Inc., worked on reward learning from human preferences, advised by Rin Metcalf Susa and Barry Theobald.
- Summer 2022: Machine Learning Research Intern at Apple Inc., conducted preference-based reinforcement learning research, advised by Rin Metcalf Susa and Barry Theobald.
- Summer 2021: Deep Learning Software Engineering Intern at Intel Corporation, analyzed and optimized float32 ResNet50 on Intel IceLake, advised by Wei Wang.
- Summer 2018: Software Engineering Intern at Samsung Semiconductor India Research, developed DRAM Bank Simulator and novel redundancy analysis algorithms, advised by Atishay Kumar.
- Summer 2017: Software Engineering Intern at Samsung Semiconductor India Research, built SSD simulator and LSTM-based algorithm STRASDAC to reduce write-wear, advised by Sandeep Sammatshetti.
