News

2 preprints currently under review!

• Learning relevant contextual variables within Bayesian optimization. J. M., Ayush Bharti, Armi Tiihonen, S.T. John, Louis Filstroff, Sabina J. Sloman, Patrick Rinke and Samuel Kaski.
• Bayesian Active Learning in the Presence of Nuisance Parameters. Sabina J. Sloman, Ayush Bharti, J. M. and Samuel Kaski.

Biography

I am a postdoctoral researcher at Inria Bordeaux, in the SISTM team. I work on the interplay between data-driven and mechanistic models, also known as Grey-box modeling, in a Bayesian framework, hopefully with concrete applications for clinical trial data analysis along the way. Before that, I was a postdoctoral researcher at Aalto University, in the Probabilistic Machine Learning group, working with Samuel Kaski, Vikas Garg and Markus Heinonen. There, I studied the integration of human feedback into machine learning algorithms, with an emphasis on de novo Drug Design applications.

And prior to that, I did my PhD jointly between Inria and Institut Curie, under the supervision of François Fages and Annabelle Ballesta. We developed methods at the boundary of Systems Biology and Machine Learning to infer mechanistic models from time series data. A major contribution of the manuscript was to apply such methods to investigate the impact of systemic regulators (e.g. temperature, nutrient exposure, hormones) on the cellular circadian clock, in an attempt to personalize Cancer Chronotherapies. The manuscript can be found here and the slides here.

Teaching

• 2022-2023: Teaching Assistant • M. Sc. • Aalto University
  • Advanced Probabilistic Methods
• 2019-2021: Teaching Assistant • 2nd year B. Sc. • Université de Paris
  • Real Analysis (42h)
  • Multivariate Functions (18h)
• 2018-2019: Teaching Assistant • 1st year B. Sc. • Université de Paris
  • Mathematics and Calculus (60h)

Reviewing service

I have served as a reviewer for Machine Learning journals and conferences ( JMLR, PAMI, NeurIPS'23, ICML'23-24, ICLR'23-24) as well as for Computational Biology journals and conferences ( TCBB, CMSB'23, ECCB'20, CSBIO'19).

Miscellanous

For a few years now, I have been cultivating a passion for indoor bouldering, with a mild success thus far 🫠