Aditya Saxena

Aditya Saxena

CS + Stat @ Harvard | Researcher at MIT | BITS Pilani

Welcome to My Space

Masters Student at Harvard University | Graduating in December 2025

  • Majoring in Data Science - Department Computer Science and Statistics

Grad Student Researcher at MIT

  • Focusing on applying machine-learning techniques to quantitative finance, systemic risk, and adaptive markets.

Professional Work Experiences

  • Quant Researcher: Delivered alphas in quantitative research for Hedge Funds, AMCs.
  • ML & Data Engineer: Applied machine learning & data engineering techniques to large complex datasets.

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Harvard University

  • Degree: Masters in Data Science – (Computer Science & Statistics)
  • Location: Cambridge, MA
  • Timeline: August 2024 - December 2025
  • Anticipated Coursework:
    • Stochastic Methods for Data Analysis, Inference, & Optimization
    • Time Series Prediction
    • Statistical Machine Learning
    • Generalized Linear Models
    • Sequential Decision Making
    • Applied Linear Algebra and Big Data
    • Bayesian Statistics
    • Advanced Topics in Data Science

Massachusetts Institute of Technology (MIT)

  • Position: Grad Researcher, Laboratory for Information & Decision Systems
  • Location: Cambridge, MA
  • Timeline: January 2025 - May 2025
  • Advisor: Roy E Welsch
  • Research Topic: Covariance Prediction for Financial Factor Returns: A Comparative Analysis of CM-IEWMA and MGARCH

Birla Institute of Technology and Science (BITS) Pilani

  • Degree: Bachelor of Engineering in Computer Science (Distinction)
  • Location: Pilani, India
  • Timeline: June 2019 - June 2023
  • CCGPA: 9.72/10:
  • Relevant Coursework:
    • Data Structures and Algorithms
    • Object Oriented Programming
    • Theory of Computation
    • Probability and Statistics
    • Mathematics (I, II, III)
    • Discrete Mathematics
    • Data Mining
    • Deep Learning

Achievements & Awards

  • BITSAA Mantra Entrepreneur of the Year Award (1/1000) – 2023
    Link

  • BITSAA Mantra Innovator of the Year Award (1/1000) – 2023
    Link

  • Merit Scholarship – All 4 Years – BITS Pilani Undergraduate

  • 2nd Place – National Undergraduate Research Competition, Abu Dhabi University
    Detecting COVID-19 from Chest X-Rays Using Deep Learning and CNNs
    Co-Author, Advisor: Dr. Vilas Gaidhane – PDF
    Date: June 2022

  • 2nd Place – National Undergraduate Research Competition, Abu Dhabi University
    Credit Risk Assessment Model for UAE’s Commercial Banks: A Machine Learning Approach
    Main Author, Advisor: Dr. Parizad Dungore – PDF
    Date: April 2021

  • Granted Intellectual Property Right, UAE Ministry of Economy
    Lithium-Ion Battery Life Prediction from Initial Stage-Cycles Using Machine Learning
    Main Author, Advisor: Dr. Vilas Gaidhane – IP Number: AE 576-2020
    PDF
    Date: May 2020

  • Granted Intellectual Property Right, UAE Ministry of Economy
    Real-Time Drowsiness Detection Using Computer Vision to Prevent Car & Road Accidents
    Main Author, Advisor: Dr. Tamizharasan PS – IP Number: AE 577-2020
    PDF
    Date: May 2020

  • Simple Rules for Algorithmic Trading: A Comparative Analysis of Quadrant Strategies
    Achievement: Best Paper Presentation Award
    Conference: Springer Nature – April 12, 2025

The National Undergraduate Research Competition (URC) is the largest undergraduate research event in the GCC & MENA region, held under the UAE government’s innovation drive, with 600+ papers across 27 disciplines and 78 universities.