CV

Education

• PhD. in Computational Neuroscience and Machine Learning - Gatsby Unit UCL, 2024 (expected)
• MSc. (x2) in System Bioengineering - Ecole Polytechnique then EPFL, 2018
• BSc. in mathematics - Lycee Louis Le Grand, 2013

Experience

• Summer 2020: Visiting PhD Student, Statistical Machine Learning Group - UCL
  • Efficient RL
  • Gaussian Processes and Random Fourier Features
• 2017-2019: Research Assistant and Data Analyst, Neuroscience Statistics Research Laboratory, Harvard-MGH, Boston, USA
  • Simultaneous EEG- fMRI analysis
  • Design Expectation Maximization and Kalman filtering algorithms
  • Statistical inference
• Summer 2016: Research Internship, Unit of Dynamic Neuronal Imaging, Pasteur Institute, Paris, France
  • Design and Built a Fluorescence Correlation Spectroscopy (FCS) microscope
  • Designed and implemented FCS Experiments
  • Implemented numerical simulations tools assessing the experiments validity.
• 2015: Human/military formation (as part of École Polytechnique training), French Air Force
  • Participated in training missions and drew up internal audit reports.

Distinctions

• Bertarelli Fellowship
  • Bertarelli Foundation and EPFL annually selects three to five students to perform their master’s research in Harvard Medical School (HMS) or HMS-affiliated labs over a ten- to twelve-month period.
• Master Degree Excellence Mention
  • Awarded for student whose master studies average exceeds 5.5/6 (GPA>3.7)
• EPFL Excellence Fellowship
  • Awarded to students with outstanding academic records

Publications

Multitaper Infinite Hidden Markov Model for EEG

Song, AH. , Chlon L., Soulat, H. , Tauber,J. , Subramanian, S., Ba, D , Prerau, MJ.

State space oscillator models to identify and parameterize oscillatory signals in EEG

Beck, A., Soulat, H., Stephen ,E. , Purdon, PL.

Association Between Lower Preoperative Cognition With Intraoperative Electroencephalographic Features Consistent With Deep States of Anesthesia in Older Patients: An Observational Cohort Study

Gutiérrez, Rodrigo G.; Egaña, José I.; Maldonado, Felipe A.; Sáez, Iván A. CK; Reyes, Fernando I.; Soulat, Hugo; Purdon, Patrick L

Probabilistic Tensor Decomposition of NeuralPopulation Spiking Activity (Accepted with spotlight)

Soulat,H., Keshavarzi,S., Margrie, TW. & Sahani, M.

State space methods for phase amplitude coupling analysis

Soulat, H., Beck, A., Stephen ,E. , Purdon, PL.

Amortised Inference in Structured Generative Models with Explaining Away

Yu. C, Soulat. H, Burgess. N, Sahani. M

Unsupervised representational learning with recognition-parametrised probabilistic models

Walker. W*, Soulat. H*, Yu. C, Sahani. M

Talks

Neurips 2021 Spotlight

December 07, 2021

Talk at Neurips 2021,

Teaching

Volonteer Mentor. Social mobility and diversity program.

Systems and Theoretical Neuroscience

Probabilistic and Unsupervised Learning

Approximate Inference and Learning in Probabilistic Models

Interests

World health and politics, scuba diving, basketball, piano, life and basic sciences.