CV

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Education

• PhD Candidate in Bioengineering, University of California San Diego, CA (2021 – present)
• BTech in Electrical Engineering, College of Engineering Pune, India (2016 – 2020)

Skills

• Programming
  • Python
  • MATLAB
  • C
  • C++
  • HTML/CSS/JS
• Tools
  • [ML Tools] JAX, PyTorch, TensorFlow
  • MS Office
  • LaTeX
• Theory
  • Theoretical Deep Learning
  • Probabilistic Graph Networks
  • Bayesian Inference
  • Recommendation Systems
  • Computational Neuroscience
  • Dynamical Systems and biophysics

Research Experience

• Ph.D. Candidate, UC San Diego, Department of Bioengineering (2021 - present)
• Research Assistant, IISER Pune , India (2019 - 2021)

Publications

Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling

Investigating the Multiscale Impact of Deoxyadenosine Triphosphate (dATP) on Pulmonary Arterial Hypertension (PAH) Induced Heart Failure

Effect of expressive writing on math anxiety of engineering students

Presentations

Bridging rate and temporal coding in bio-realistic spiking neural networks with a noise-driven gradient-based learning rule [PDF]

June 05, 2024

Poster at International Conference on Neuromorphic Computing and Engineering, Aachen, Germany

Role of Ryanodine Receptors in Modulating Plasticity at the Hippocampal CA1 Dendritic Spine [PDF]

September 26, 2021

Poster at Bernstein Conference, Germany (Remote)

Outreach

• Chair, Mentorship Committee, BEGS (2021 - 2023)