Johnย Sekar
Consultant at TekFrameworks
New York, New York, India
Summary
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Top SchoolJohn Sekar is a computational biologist and solutions architect with 12 years of experience building software-driven platforms for biological research, currently consulting and serving as Chief Scientist at Astralinx. He designs and ships cross-platform tools for biochemical simulation, multimodal data integration, and graph-based machine learning, with hands-on expertise in Python, PyTorch, R, Docker and scalable deployment. At Mount Sinai he led multimodal aggregation and visualization projects and pioneered dynamic graph matching approaches for biochemical simulation during his postdoc. He contributed to BioNetGen development during his PhD work, adding visualizations and energy-based reaction rules to tackle thermodynamic complexity. Comfortable bridging wet-lab questions and production software, he pairs domain-specific language design and graph-data modeling to make complex biological systems tractable. An uncommon strength is his track record of turning formal biochemical theory into practical, deployable simulation and analysis platforms used by multidisciplinary teams.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at University of PittsburghBachelor of Technology - BTech, Industrial Biotechnology, Bachelor of Technology - BTech, Industrial Biotechnology at Anna University Chennai
English, Tamil
Stackoverflow
1reputation
0reached
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Github Skills (8)
systems-biology10
rule10
modeling9
agent-based-modeling9
rule-based9
python6
spreadsheet4
excel4
Programming languages (3)
Github contributions (5)
KarrLab/wc_rules
Nov 2016 - May 2022
Rule-based modeling for whole-cell models.
Contributions:682 commits, 12 PRs, 440 pushes in 5 years 7 months
kinetic-modelingagent-based-modelingrulerule-based-modelingsystems-biology
KarrLab/wc_rules_deps
Sep 2018 - May 2021
Contributions:6 pushes in 2 years 8 months
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