Abhinav Mishra

You can view my complete CV as PDF here.

Education

Master of Science, Bioinformatics
Freie Universität Berlin, Germany — 2025
Thesis: Mathematical Optimization of Signalling Networks in Triple Negative Breast Cancer Cell Lines
Bachelor of Technology, Bioinformatics
Jaypee University of Information Technology, India — 2017
Thesis: Identification of Potent Biomarkers for Prostate Cancer Through AR, MAPK, and mTOR Signalling Pathway Mining

Research Intern — Institute for Biology, HU Berlin (Jan 2025 – Feb 2025)
Developed a physiologically based pharmacokinetic model for Tirzepatide using curated clinical data and parameter optimization.
GitHub
Master Thesis Student — Theoretical Biophysics, HU Berlin (May 2024 – Jan 2025)
Built and validated an optimization framework to reconstruct triple-negative breast cancer phosphorylation networks from LC-MS and kinase-substrate data using Differential Evolution and Sequential Least Squares Programming.
GitHub
Bachelor Thesis Student — JUIT, India (Feb 2016 – Mar 2017)
Designed a pipeline using GEO2R, MeV, WB-DEGS, and R/Shiny to identify and validate prostate cancer biomarkers.
GitHub
Project Researcher — JUIT, India (Aug 2015 – Mar 2016)
Developed a docking workflow with Discovery Studio, Maestro, and Glide XP to screen FDA-approved drugs against the Dopamine D3 receptor. Analyzed interactions using PyMol & VMD.
GitHub

See Projects for details.

Mishra, A. & König, M. Physiologically Based Pharmacokinetic (PBPK) Model of Tirzepatide. Zenodo, 2025. DOI
Asati, N., Mishra, A., Shukla, A., Singh, T. Gene Expression Studies to Identify Significant Genes in AR, MTOR, MAPK Pathways and their Overlapping Regulatory Role in Prostate Cancer. J. Integrative Bioinformatics, 16(3), 2019. DOI

Administrator, BioBaes (since 2020)
Non-profit community for bioinformatics enthusiasts. Focused on mentoring, open knowledge, and creating accessible opportunities.
Member, International Society for Computational Biology (ISCB) — 1 year