Jeyashree Krishnan
Senior Machine Learning Scientist at Siemens
Germany
Summary
👤
Senior🎓
Top SchoolJeyashree Krishnan is a Senior Machine Learning Scientist with a decade of experience applying computational science and ML to biomedical and industrial problems from academia to Siemens. She combines deep theoretical training (Dr. rer. nat. in Computational Sciences) with hands-on engineering—implementing precise continuous-time spiking neuron models for NEST and building end-to-end ML pipelines for finance, healthcare, and sustainability use cases. Her work bridges complex systems, statistical physics, and applied data science, evidenced by publications, international collaborations, and leadership of student teams and grant-backed projects. Currently splitting time between Siemens and exploratory AI research in computational life sciences, she brings both product-focused consulting experience and rigorous research instincts. Notably, she contributed algorithmic refinements to a widely used neural simulator, improving spike-detection accuracy—an example of her knack for turning mathematical insight into production-quality code.
10 years of coding experience
11 years of employment as a software developer
High School All India Senior School Certificate Examination (AISSCE) Mathematics Physics Chemistry Biology, High School All India Senior School Certificate Examination (AISSCE) Mathematics Physics Chemistry Biology at P. S. Senior Secondary School, MylaporeDoctor of Natural Sciences (Dr. rer. nat.) Computational Sciences, Doctor of Natural Sciences (Dr. rer. nat.) Computational Sciences at RWTH Aachen UniversityBachelor's Degree Biotechnology, Bachelor's Degree Biotechnology at Anna University Chennai
German, English, Hindi, Tamil, Japanese
Github Skills (8)
nest-simulator10
cpp10
neurons10
simulator10
data-structure9
algorithm9
data-structures9
algorithms9
Programming languages (3)
Github contributions (5)
nest/nest-simulator
Jan 2017 - Sep 2017
The NEST simulator
Role in this project:
Back-end Developer
Back-end DeveloperContributions:24 commits, 1 PR, 35 comments in 7 months
Contributions summary:Jeyashree implemented and refined the time-reversal state space spike detection algorithms for the precise version of the exp-neuron model. They introduced new variables, modified function descriptions, and added comments to improve code clarity and understanding. Furthermore, the user addressed comments from code reviews and corrected code formatting issues, enhancing the overall quality and maintainability of the codebase. Their work focused on improving the accuracy of the neural simulator.
cppnest-simulatorpythonsimulationneurons
krishnanj/krishnanj
Jan 2021 - Jul 2024
Hey there! Welcome to my GitHub page 😄
Contributions:2 PRs, 16 pushes, 1 branch in 3 years 6 months
heywelcome
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