Sayan Mandal
Doctoral Researcher at Forschungszentrum Jülich
Jülich, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolSayan Mandal is a doctoral researcher and applied computer vision specialist with a decade of experience building ML-driven imaging and security solutions across academia and industry. Currently at Forschungszentrum Jülich working on foundational models for Earth Observation, he brings a strong blend of visual computing research (MSc, TU Graz) and hands-on research software development. His background spans deep learning for surveillance and wildlife monitoring to production-facing research tools, and he has contributed notable scientific software improvements such as implementing ROOM and geometric FBA in the widely used COBRApy metabolic modeling library. Comfortable moving between backend development, data science, and field-focused research, Sayan combines rigorous experimental skills with practical engineering to turn models into usable systems. Based in Jülich, he is pursuing a PhD trajectory that bridges high-performance computing and planetary-scale ML while quietly maintaining an active open-source and reproducible-research mindset.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS (Thesis), Computer Science (Machine Learning, Visual Computing), Distinction, Master of Science - MS (Thesis), Computer Science (Machine Learning, Visual Computing), Distinction at Technische Universität GrazBachelor of Technology (B.Tech.), Computer Science Engineering with specialization in Cloud Computing and Virtualization Technologies, Bachelor of Technology (B.Tech.), Computer Science Engineering with specialization in Cloud Computing and Virtualization Technologies at University of Petroleum and Energy StudiesScience, 84.8%, Science, 84.8% at Apeejay SchoolDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of Iceland (Háskóli Íslands)Science, 94%, Science, 94% at St. Joans School
English, Bengali, Hindi
Github Skills (8)
mathematical-optimization10
constraint-layout10
constraint10
constraint-satisfaction10
python10
modeling10
metabolic-models10
bioinformatics9
Programming languages (8)
Github contributions (5)
opencobra/cobrapy
May 2018 - Sep 2022
COBRApy is a package for constraint-based modeling of metabolic networks.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:243 reviews, 325 commits, 98 PRs in 4 years 4 months
Contributions summary:Sayan implemented the ROOM method and geometric FBA, contributing to the metabolic modeling capabilities of the cobrapy package. These additions involved modifications to existing flux analysis modules and the creation of new files related to these methods. The user also addressed several documentation errors and improved the tests.
pythonsystems-biologysimulationsbml-simulationbioinformatics
conda-forge/junifer-feedstock
Jul 2023 - Jan 2025
A conda-smithy repository for junifer.
Contributions:3 reviews, 4 PRs, 4 pushes in 1 year 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.