CV
Basics
| Name | Jigyasa Nigam |
| Label | Postdoc |
| jnigam@mit.edu | |
| Summary | I am working at the intersection of physics, machine learning and materials science, hoping to drive their mutual development! |
Work
-
2024.09 - Present -
2023.07 - 2023.10 -
2020.06 - 2024.08 Doctoral student
EPFL
In addition to research, I was involved in teaching activities and supervision of Bachelor and Master student projects
- Advised by Prof. Michele Ceriotti
-
2019.08 - 2020.05 INSPIRE Potential Fellow
École Polytechnique Fédérale de Lausanne (EPFL)
Extending machine learning descriptors to model long-range interactions and applying them to study hydrogen at astrophysical conditions
- descriptors for long-range interactions in atomistic ML
-
2019.05 - 2019.07 Future Research Talent Fellow
Australian National University
I worked on extending the quasi-exactly solvable ringium model to two nucleons interacting via Yukawa potential on a d-dimensional sphere
- analytical solutions to the Schrödinger equation
-
2018.05 - 2018.07 Summer Intern
NASA Jet Propulsion Laboratory
Determining and machine learning biodiversity metrics from AVIRIS hyperspectral data
- machine learning
-
2017.05 - 2017.07 Summer Undegraduate Research Intern
LIGO, California Institute of Technology
Quantitative analysis of light scattering at the mirrors at the 40m prototype of the LIGO gravitational wave detector
Education
Awards
- 2024.09
Postdoctoral Fellowship for Excellence in Engineering
MIT School of Engineering
- 2019.08
NCCR MARVEL Inspire Potentials Fellowship
Swiss National Center for Competence in Research (NCCR) MARVEL
- 2019.05
Future Research Talent Scholarship
Australian National University
Interests
| atomistic ML | |
| role of symmetries | |
| quantum chemistry | |
| long-range interactions | |
| inverse design | |
| quantum mechanics | |
| mathematical physics | |
| statistical mechanics | |
| materials for energy storage | |
| materials for quantum computing |