Research

Current Research Focus

My research focuses on two interconnected directions: Computational Biology and Technical AI Safety. I aim to build a strong research profile that bridges computational science, machine learning, and AI safety, with a particular emphasis on interpretability and robustness. My work seeks to make unique contributions at the intersection of these fields, publishing in top-tier venues that leverages my experience across computational modeling, ML systems, and AI safety research.

Research Publications

Click here to download my citations in BibTex format that can be imported into most reference management software.

Spike by spike frequency analysis of amperometry traces provides statistical validation of observations in the time domain, Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Mohaddeseh Amir-Aref, Xiulan He, Soodabeh Majdi, Andreas Schuppert, Andrew Ewing, Scientific Reports 14(1), 25142 (2024)

Tree-based learning on amperometric time series data demonstrates high accuracy for classification, Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Mohaddeseh Amir-Aref, Xiulan He, Soodabeh Majdi, Andreas Schuppert, Andrew Ewing, Journal of Data Science and Analytics (2024)

FOXG1 dose tunes cell proliferation dynamics in human forebrain progenitor cells, Nuwan Hettige, Huashan Peng, Hanrong Wu, Xin Zhang, Volodymyr Yerko, Ying Zhang, Malvin Jefri, Vincent Soubannier, Gilles Maussion, Shaima Alsuwaidi, Anjie Ni, Cecilia Rocha, Jeyashree Krishnan, Vincent McCarty, Lilit Antonyan, Andreas Schuppert, Gustavo Turecki, Edward Fon, Thomas Durcan, Carl Ernst, Stem Cell Reports 17(3), 475-488 (2022)

A Long-Range Ising Model of a Barabasi-Albert Network, Jeyashree Krishnan, Reza Torabi, Edoardo Napoli, Carsten Honerkamp, Andreas Schuppert, Preprint, arXiv:2005.05045 (2020)

Stimulation of L-type calcium channels increases tyrosine hydroxylase and dopamine in ventral midbrain cells induced from somatic cells, Malvin Jefri, Scott Bell, Huashan Peng, Nuwan Hettige, Gilles Maussion, Vincent Soubannier, Hanrong Wu, Heika Silveira, Jean-Francois Theroux, Luc Moquin, Xin Zhang, Zahia Aouabed, Jeyashree Krishnan, Liam O'Leary, Lilit Antonyan, Ying Zhang, Vincent McCarty, Naguib Mechawar, Alain Gratton, Andreas Schuppert, Thomas Durcan, Edward Fon, Carl Ernst, Stem Cells Translational Medicine 9(6), 697-712 (2020)

A modified Ising model of Barabási–Albert network with gene-type spins, Jeyashree Krishnan, Reza Torabi, Andreas Schuppert, Edoardo Di Napoli, Journal of Mathematical Biology 81(3), 769 (2020)

Modeling and simulation of complex networks in systems biology, Jeyashree Krishnan, PhD Thesis, Rheinisch-Westfälische Technische Hochschule Aachen, 2019, Aachen

Metastable Regimes and Tipping Points of Biochemical Networks with Potential Applications in Precision Medicine, Satya Samal, Jeyashree Krishnan, Ali Esfahani, Christoph Lueders, Andreas Weber, Ovidiu Radulescu, Automated Reasoning for Systems Biology and Medicine, 269--295 (2019)

Perfect Detection of Spikes in the Linear Sub-threshold Dynamics of Point Neurons, Jeyashree Krishnan, PierGianLuca Porta Mana, Moritz Helias, Markus Diesmann, Edoardo Di Napoli, Frontiers in Neuroinformatics 11 (2018)

Anti-bacterial effects of extracts of Ocimum on Imipenem Resistant Gram-Negative Bacteria isolated from burn wound infections, Vijaylatha Rastogi, Chhavi Vijay, Jeyashree Krishnan, Pushpanjali Verma, P Nirwan, International Journal of Microbiology and Parasitology 5 (2015)

Detection of threshold crossings in the leaky integrate-and-fire neuron model with alpha-shaped post-synaptic currents in time-driven simulations, Jeyashree Krishnan, Master's Thesis, RWTH Aachen University, 2014, Aachen

Whitepapers and Industry Portfolios

Generative AI in Healthcare, In collaboration with Sebastian Herrmann, Leander Fortmann, Stefan Kneip, Industry Portfolio, February 2024

AI is transforming healthcare, In collaboration with Sebastian Herrmann, Stefan Kneip, Jerome Panoff, Ulli Waltinger, Whitepaper, August 2023

Software Contributions

Tropical Sensitivity Scores (TROSS), TROSS determines the parameter sensitivity scores for a given biochemical reaction network based on the changes in tropical solutions, 2019

Software Carpentry: Version Control with Git, Software Carpentry workshops that teach how to use version control with Git, 2019

Library Carpentry, Officially stable version of the Software Carpentry workshop lessons, 2019

NEST 2.16.0, NEST is a simulator for large-scale neuronal network simulations, 2018

Technical Blogs

Enhancing Genomic Foundation Model Robustness through Iterative Black-Box Adversarial Training, Jeyashree Krishnan, Ajay Mandyam Rangarajan, LessWrong, October 2025

AI Safety Research Projects

Enhancing Genomic Foundation Model Robustness through Iterative Black-Box Adversarial Training, Jeyashree Krishnan, Ajay Mandyam Rangarajan, Apart Research, September 2025

Sequential Cascaded Hamiltonian Neural Networks, Jeyashree Krishnan, Ajay Mandyam Rangarajan, Apart Research, July 2025

Students Mentored

Marla Buender, Working Student, Corporate IT, Siemens AG (2025)

Philipp Kataliakos, Working Student, Siemens Advanta Consulting (2024). Currently Consultant at Siemens Advanta Consulting.

Lovis Kauderer, Seminar Project Student, JRC for Computational Biomedicine, RWTH Aachen University (2022). Currently Developer at Atlas Copco Group.

Yumeng Li, Student Assistant, JRC for Computational Biomedicine, RWTH Aachen University (2021). Currently Applied Scientist at Amazon.

Zeyu Lian, Student Assistant, JRC for Computational Biomedicine, RWTH Aachen University (2020-2021). Currently Doctoral Candidate at BMW Group.

Anthony Kang, Undergraduate Research Opportunities Program (UROP), Rice University, Texas, JRC for Computational Biomedicine, RWTH Aachen (2019). Currently completing graduate studies at Rice University, Texas.

Anton Darsht, Master Thesis, Department of Physics, RWTH Aachen University (2018). Currently Developer at SPIE.