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PhD student applying ML to exoplanet detection and time-series analysis.

India

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What I'm looking for

I seek research-focused roles applying ML to astrophysical time-series and exoplanet detection, in collaborative teams with strong scientific rigor and opportunities for publication and technical growth.

I am a PhD candidate at the Tata Institute of Fundamental Research focused on applying machine learning to exoplanet detection and stellar time-series analysis.

My research centers on radial velocity and transit methods, using transformer-based and other ML models to detect low-amplitude Keplerian signals and stellar periodicities in challenging, low-signal regimes.

I have presented talks and posters at international conferences (EPRV VI, Exoplanets V, Sun/Space Weather meetings) and submitted work to The Astronomical Journal on vision-transformer approaches for planetary candidate identification.

I hold a BSc and MSc in Physics from IIT Kanpur, have international Olympiad experience in astronomy and astrophysics, and bring strong programming and ML tool experience (Python, C/C++, Matlab, Fortran, TensorFlow, PyTorch, scikit-learn) to research and development roles.

Experience

Work history, roles, and key accomplishments

Current

Ph.D. Researcher

Current

Tata Institute of Fundamental Research

Nov 2021 - Present (4 years)

Conducting Ph.D. research on exoplanet detection using radial velocity and time-series ML methods; developed Vision Transformer models to detect low-amplitude Keplerian signals and analyze stellar periodicities, with manuscripts submitted to peer-reviewed journals and multiple conference presentations.

Radial Velocity Analysis Time Series Analysis Vision Transformer Python PyTorch Machine Learning Signal Processing Research

B.S./M.S. Student

Indian Institute of Technology Kanpur

Jan 2015 - Dec 2020 (5 years 11 months)

Completed integrated Bachelor and Master of Science in Physics with research projects and training in astrophysics, time-series analysis, and computational methods between 2015 and 2020.

Time Series Analysis Python C C++Matlab Fortran Scientific Computing Data Analysis

Education

Degrees, certifications, and relevant coursework

Tata Institute of Fundamental Research

Doctor of Philosophy, Astrophysics / Physics

2021 -

Activities and societies: Thesis: Advancing Planet Detection and Stellar Periodicity Analysis through Radial Velocity and Time-Series Methods; research on vision-transformer based radial velocity planet detection and time-series periodicity analysis; conference presentations and posters.

Ph.D. candidate in astrophysics focusing on radial velocity and time-series methods for exoplanet detection; expected completion 2026.

Indian Institute of Technology Kanpur

Bachelor and Master of Science, Physics

2015 - 2020

Activities and societies: Research projects and coursework in physics; participated in astronomy-related research and national/international competitions.

Completed integrated Bachelor and Master of Science in Physics with research projects related to astronomy and astrophysics.