California Institute of Technology
Ph.D., Social and Decision Neuroscience
2021–2026
Advisor: John O'Doherty
University of Massachusetts Amherst
Master of Science in Computer Science
2018–2020
Indian Institute of Technology Madras
Bachelor of Technology in Electrical Engineering
Master of Technology in Communication Engineering
2011–2016
“Asymmetric weights and retrieval practice in an autoassociative neural network model of paired-associate learning.” In Neural Computation 2021.
“Retrospective value bias in setting temporally extended goals in humans.” In Conference on Cognitive Computational Neuroscience 2023.
“ Lexicase selection in learning classifier systems.” In Proceedings of The Genetic and Evolutionary Computation Conference (Oral Presentation) 2019.
“Reinforcement learning with a network of spiking agents.” In NeurIPS Workshop on Real Neurons and Hidden Units 2019.
“A memory enhanced LSTM for modeling complex temporal dependencies.” In NeurIPS Workshop on Context and Compositionality in Biological and Artificial Neural Systems 2019.
“Momentum drives temporally-extended goal persistence in humans.” In MURI - 2nd Workshop on Neuro-Glial Computation, St. Louis 2023.
“Modeling frustration-induced decision-making through reinforcement learning.” In Lake Arrowhead Conference on Neurobiology of Reward and Decision Making, 2022.
“Learning complex action representations for goal-directed tasks through neuromodulation of Hebbian plasticity.” In Society for Neuroscience (SFN), Chicago 2019.
“Associative symmetry redux: A behavioral and modeling reanalysis of paired-associate learning.” In Arthur. M. Sackler Colloquium on Brain Produces Mind by Modeling, 2019 .
“Cell segmentation in AAV tracer images of a mouse brain.” In Workshop on Machine Intelligence and Brain Research, IIT Madras 2016 .
“Perturbation-based exploration methods in deep reinforcement learning.” In arxiv 2020 .
US11314209: “Detection of driving actions that mitigate risk.” Michael Campos, Venkata Sreekanta Reddy Annapureddy, Vikram Gupta, Hisham Rahman, Sneha Aenugu, Priyam Bakliwal, Alexander Thomas, Adam David Kahn, David Jonathan Julian, Sandeep Pandya, Avneesh Agrawal. Filed .
January 13, 2023: “Neural underpinnings of narrative improvisation.” Chen Graduate Innovator Symposium.
February 5, 2021: “Reinforcement learning with a network of spiking agents.” UCSD Computation Group mini-symposium.
January 27, 2021: “Biologically plausible credit assignment in a network of neurons.” UCL Gatsby Computational Neuroscience Unit.
July 14, 2019: “Lexicase selection in learning classifier systems.” Proceedings of The Genetic and Evolutionary Computation Conference 2019.
Graduate Research Assistant
California Institute of Technology
2022–
Data Scientist
Enolink Technologies
2020–2021
Research Engineer
Netradyne Inc
2016–2018
California Institute of Technology:
University of Massachusetts Amherst:
Indian Institute of Technology Madras:
Organizer, Caltech Brain Imaging Center (CBIC) seminar series (2022 – 2023 )
Outreach, City of STEM, Los Angeles (2022)
Volunteer, Make A Difference Foundation (2016 – 2017)
Public Policy Research Intern, Rakshak Foundation (2014)
Correspondent, The Fifth Estate – IIT Madras Newsletter (2013 – 2014)
Placement Coordinator, IIT Madras Placement Cell (2013 – 2014)