Hello there and welcome! My name is Malavika and I am a reseracher specializing in studying exoplanets using Machine learning driven simulation-based inference (SBI) algorithms. My broad interest lies in using Data Science techniques to solve problems in astronomy. Here you can find my resume, research, and ways to contact me.
Research Publications
- H. Kühnle, P. Patapis, P. Mollière, et al., “Water depletion and NH3 in the atmosphere of the coldest brown dwarf observed with JWST/MIRI.” Astronomy & Astrophysics, vol. 695, A224, Mar. 2025. DOI |
- M. Vasist, P. Mollière, H. Kühnle, et al., “Panchromatic characterization of the Y0 brown dwarf WISEP J173835.52+273258.9 using JWST/MIRI” (submitted to Astronomy & Astrophysics), 2025. arXiv:2507.12264
- D. Barrado, P. Mollière, P. Patapis, et al., “15NH3 in the atmosphere of a cool brown dwarf.” Nature, vol. 624, no. 7991, pp. 263–266, Nov. 2023. DOI
- M. Vasist, F. Rozet, O. Absil, P. Mollière, E. Nasedkin, and G. Louppe, “Neural posterior estimation for exoplanetary atmospheric retrieval.” Astronomy & Astrophysics, 2023. DOI
- M. Vasist, K. Ambarish, and B. Venkatesh, “Three-point MPPT technique for photovoltaic systems.” International Journal of Engineering Research, vol. 5, pp. 992–1128, 2016. Link
PhD Thesis
M. V. Vasist, “Exoplanet atmospheric characterization using amortized simulation based inference.” Ph.D. dissertation, Université de Liège, Belgium, June 20, 2025. ORBi