Prashant Vaidyanathan
Director - Data Science And Software Development
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolPrashant Vaidyanathan is a director-level data science and software leader with 12 years of experience building platforms at the intersection of computer science, design automation, and synthetic biology. He combines a PhD in Computer Engineering with hands-on backend development—contributing to notable open-source work such as CIDARLAB/cello, improving assignment algorithms and SBOL conversion for genetic circuit design automation. At Microsoft and OXB he led knowledge graph, lab automation and automated experimental design efforts, translating multi-omics insights into production-ready workflows. He excels at bridging research and product: writing proposals, shaping technical strategy, mentoring teams, and organizing cross-disciplinary forums. Based in Oxford, he’s as comfortable refactoring core optimization logic as he is running strategic discussions with academic and industrial partners. A less obvious strength is his track record of turning complex biological design problems into practical software solutions that have appeared in top venues like Science and IEEE.
12 years of coding experience
9 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceDoctor of Philosophy (PhD), Computer Engineering, Doctor of Philosophy (PhD), Computer Engineering at Boston University
English, Tamil, Hindi, Marathi, Malayalam
Stackoverflow
468reputation
39kreached
19answers
13questions
Github Skills (11)
javas10
boolean-logic10
java10
circuit9
algorithms9
algorithm6
stackpanel6
windows-phone6
visual-studio6
datatemplate6
grid6
Programming languages (7)
Github contributions (5)
CIDARLAB/cello
Mar 2016 - Jul 2017
Genetic circuit design automation
Role in this project:
Back-end Developer
Back-end DeveloperContributions:22 commits, 2 PRs, 13 pushes in 1 year 3 months
Contributions summary:Prashant primarily focused on modifying the assignment algorithms and core logic within the genetic circuit design automation framework, Cello. They implemented changes to the assignment algorithms (hill climbing, simulated annealing), and refactored variable names throughout the code. Additionally, the user added features like a re-enter password field and made modifications to the circuit output by creating an SBOL converter.
pythongenetic-circuit-design-automationbio-design-automationboolean-logiccircuit
PrashantVaidyanathan/algorithms
Feb 2015 - Sep 2021
Contributions:2 pushes, 1 branch in 6 years 8 months
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