Hi and welcome to my website! I am Jeyashree, currently a Data Science Consultant in the Advanced Analytics Team at Siemens Advanta Consulting, Siemens AG . Previously, I was a Doctoral and Postdoctoral Researcher at the Joint Research Center for Computational Biomedicine (JRC-Combine) at RWTH Aachen University.
My expertise is in Computational Sciences, with a focus on biological applications. My research interests in this area apply both bottom-up and top-down approaches. In the bottom-up approach, I apply numerical methods to simulate biological systems. In contrast, in the top-down approach, I use data-driven methods (both traditional statistical methods and Machine Learning) to identify interesting features. Besides, I also work with omics data and have reasonable expertise in computational tools for Next-Generation Sequencing (NGS) data.
My everyday work involves,
but is not limited to using the following tools:
In my postdoctoral work, I was involved in the Neuronode Project, whose primary objective was to gain a systems-level understanding of neurodegenerative diseases. As part of this project, I collaborated with the Ernst Group at McGill University, Ewing Group at Gothenberg University, among others. Previously, I was a visiting researcher at the Douglas Research Institute/ Montreal Neurological Institute at McGill University and at the Center for Complex Systems Studies (CCSS) at the Utrecht University. See my Resume or CV.
My PhD thesis was related to modeling phase transitions in network biology. In this the primary focus was on combining ideas from statistical physics and complex networks with applications in computational biology. My advisor was Andreas Schuppert at the Aachen Institute for advanced study in Computational Engineering Science (AICES), RWTH Aachen University. I hold a Masters in Simulation Sciences from the German Research School for Simulation Sciences, RWTH Aachen University, and a Bachelors degree in Biotechnology from Anna University, India.
I like taking on challenges in multiple fields to see how much I can push myself. If I like a topic or idea, I want to dive deep into it until exhausted. I have a lot of fun thinking about challenging problems and previously I frequented hackathons. Of late, I continue this but mostly by myself at home. I wrote the backend of this website using node.js and Express. For building the frontend, I used HTML, CSS, Bootstrap and Javascript.
Check out my creative page for things I do in my free time. I am always looking for opportunities to work with great people on various projects. Thanks for visiting and feel free to contact me via any of the platforms linked below!
Updates
| February 2023 | Our preprint on Tree-Based Learning on Amperometric Time Series Data is now out |
| February 2023 | Our preprint on Spike-by-Spike Frequency Analysis of Amperometry Traces is now out |
| July 2022 | I joined the Advanced Analytics Team at Siemens Advanta Consulting as a Data Science Consultant |
| March 2022 | Our collaborative paper on FOXG1 dose is now out |
| August 2021 | I participated in the Oxford Machine Learning Summer School (OxML) 2021 |
| December 2020 | I participated in the Conference on Complex Systems (CCS) 2020 |
| September 2020 | My paper on the modified Ising model with gene-type spins is now out |
| June 2020 | Honored to be featured on 1MWIS |