Suvan Kumar Resume

Education

Arizona State University

Aug. 2021 - Dec. 2024

Teaching:

  • TA for ASU 101 (The ASU Experience), Fall 2024
  • TA for CSE 230 (Computer Organization & Assembly Language), Fall 2023

Graduate-level technical coursework:

  • Deep Neural Networks (APM 598)
  • Foundations of Algorithms (CSE 551)
  • Planning and Learning Methods in AI (CSE 574)
  • Statistical Machine Learning (CSE 575)
  • Advanced Simulating Stochastic Systems (IEE 545)

Professional Experience

Research Assistant at Deparment of Economics, Miami Univeristy

Advised by Dr. Peter Nencka

January 2025 – Current Remote

  • Applied natural language processing techniques to perform vectorized string interpolation on large scale datasets
  • Contributed to the novel dataset curation and analysis of hospital records from 1909 to 1975

Research Assistant at Collective Design Lab

Advised by Dr. Paul Grogan, Funded by NASA JPL

November 2023 – December 2024 Tempe, AZ

  • Implemented new satellite constellation types and instrument observation behavior in the Tradespace Analysis Tool for Constellations (TAT-C)
  • Optimized satellite observation capabilities and duty cycle timing for convective storms with RL & ML algorithms
  • Developed parallel computing functionalities, using Dask, within a comprehensive systems analysis codebase, optimizing performance and scalability

Research Assistant at Arizona State University

Advised by Dr. Kookjin Lee, Funded by Sandia National Labs

January 2024 - May 2024 Tempe, AZ

  • Tested the capabilities and guided the manufacturing decisions of a newly invented platinum-gold alloy using large-scale nanoindentation datasets
  • Utilized diffusion and regression models to test the capabilities of a newly developed platinum-gold alloy
  • Implemented CARD (Classification and Regression Diffusion Models) and RNNs (Recurrent Neural Networks) for conditional distribution predictions

Research Assistant at Snyder Lab of Genetics

Advised by Dr. Michael Snyder & Alexander Johansen

April 2023 – November 2023 Stanford, CA

  • Streamlined and enabled secure data extraction from HealthKit to Firebase through an iOS application
  • Created a HealthKit to JSON Swift package to allow for personal analysis of data through iPython notebooks
  • Developed a Python package utilized by clinical researchers to extract 1000+ data points from dozens of various wearable devices using REST APIs