Causal Variant of Chaos 

About Me

Hi , I'm Swapnil Keshari. Welcome to my digital abode! I love learning things, this website is one such example =). In my free time I like to read, write, code, and play cricket. Professionally, I am a Ph.D. candidate in Computational Biology at University of Pittsburgh. Well, to be precise it's a joint program with Carnegie Mellon University (CPCB).

I believe, we can learn anything if we put our mind to it. Started with love for Physics, Chemistry and Maths - then transitioned to Chemical Engineering - fell in love with biology and slowing getting adept in Computer Science. Life's short and hence trying whatever I like :P.

Beyond academics, I like to read books, write poems and fly planes. While, my friends will describe me as a couch potato, I like to think of myself as a wanderer. I love to chat with people, so feel free to reach out to me for anything.

And the craziest thing I've done is to swim 12 km in 9 hours!

+

Years of Homeworks

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hrs. of flight time

paper published

NavLog

Skills

🧬 🎨 🛫 🧑🏻‍💻
Python
R
MATLAB
Adobe Creative Cloud
ML
AI
Deep Learning
HPC
bash
dask
huggingface
HTML
CSS
ML
Scikit-Learn
Pandas
NumPy
SciPy

Experience

  • Ph.D. Candidate

    University of Pittsburgh and Carnegie Mellon University
    Aug 2021 – May 2026 (Expected) | Pittsburgh, PA

    Conducting cutting-edge research in computational biology, developing tools such as DISCo-Net for large-scale co-authorship network analysis, and modeling gene regulatory networks to understand B-cell fate transitions.

  • Intern

    Bizongo
    June 2019 – July 2019 | Mumbai, India

    Analyzed B2B payment failures, categorizing 84% into root causes, which reduced held payments and improved partner experience. Performed high-frequency analysis of payment settlements to improve performance metrics.

  • Researcher

    University of Rochester Medical Center
    Apr 2020 – May 2021 | Rochester, NY, USA

    Analyzed high-dimensional datasets to infer conserved pathways and reformulated network topologies using HPC. Contributed to the development of the BONITA package for network topology analysis.

  • B.Tech. Thesis Researcher

    IIT Bombay
    Nov 2019 – May 2021 | Mumbai, India

    Developed mechanistic network models to identify key nodes in programmed cell death pathways. Simulated temporal network updates to predict steady-state transition probabilities across large-scale networks.