-
👋 Hi, I am a Research Professor at the Molecule Maker Lab Institute, an NSF AI center based at the University of Illinois at Urbana-Champaign.
-
💻🤔 I spend a lot of time thinking about problems at the interface of computational physics, chemical science, and machine learning.
-
🥷 I was up till recently an Career-track Staff Computational Scientist at the Data Science and Learning Division at the Argonne National Laboratory (2020-2023).
-
🥷 Previously, I was a postdoctoral appointee, co-supervised by Dr. Álvaro Vázquez Mayagoitia and Prof. Jacqueline Cole (University of Cambridge) at the Argonne Leadership Computing Facility,ANL (2017-2020).
- During the postdoctoral years, I was working with leadership class super computers to deliver scientific solution for leading experimentalists in the domain of chemical physics. During that time I worked on a number of interdisciplinary projects such as: (1) natural language process for literature mining of optoelectronic molecules, (2) implemented active learning for Gaussian Approximation Potential, and (3) ML based molecular melting point predictions.
-
🎓 I was awarded a Ph.D. in engineering physics from the Institute for Computational Physics, University of Stuttgart, Germany in 2017. During that period, I also served as guest researcher at the Ångström Laboratory, Uppsala University, Sweden.
- I was using 💻 for understanding electronic transport/ quantum information science of nanosensors: (1) quantum tunneling across functionalized gold electrodes for nextgen DNA sequencing (2) 2D materials for gas sensing and DNA sequencing.
-
University of Illinois at Urbana-Champaign
-
21:52
(UTC -06:00) - https://github.com/pythonpanda
- @Ganesh_S20
Popular repositories Loading
-
AL4GAP_JCP
AL4GAP_JCP PublicThis repository provides documentation for running the Active Learning workflow for fitting Gaussian Approximation Potentials.
Python 8
-
molan
molan PublicForked from argonne-lcf/molan
Data analytics for molecular melting points
Jupyter Notebook 1
-
active-learning-md
active-learning-md PublicForked from argonne-lcf/active-learning-md
Active learning workflow developed as a part of the upcoming article "Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium di…
Python 1
-
forge
forge PublicForked from materials-data-facility/forge
Forge is the Python package to access data in the Materials Data Facility
Python
-
-
Github-Markdown-Reference
Github-Markdown-Reference PublicForked from RickCogley/Github-Markdown-Reference
A reference for Github-flavored Markdown syntax.
If the problem persists, check the GitHub status page or contact support.