Leon Chlon's Homepage on Strikingly

About Me
I'm a research fellow with a joint appointment between Harvard Medical School and the Department of Brain and Cognitive Sciences at MIT. My main research interests revolve around the design and implementation of probabilistic machine learning solutions for large dynamic and stationary datasets. I am also interested in information geometry, especially with respect to ensemble learning in deep neural networks.

Prior to this, I received my PhD in Statistics and Computational Biology from the University of Cambridge, where I was fortunate to be advised by Dr. Florian Markowetz. During my undergraduate studies at Warwick University, I had the pleasure of working as a Data Science intern (summer 2012) at Sunofia Advisors, a boutique London-based Hedge Fund.

Please check out my Google Scholar profile or my CV for more information about me.
Papers
Probabilistic Modeling
Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference
with A. Song, S. Subramanian, H. Soulat, J. Tauber, D. Ba and M. Prerau.
(in submission, NIPS 2018).
Causal Modeling Dissects Tumour–Microenvironment Interactions In Breast Cancer
with A. Godicelj and F. Markowetz.
(in preparation).
Cancer Data Informatics
Master Regulators of Oncogenic KRAS Response in Pancreatic Cancer: An Integrative Network Biology Analysis
with S. Sivakumar, I. Santiago and F. Markowetz
PLoS Medicine 14 (1), e1002223
Patterns of immune infiltration in breast cancer and their clinical implications: a gene-expression-based retrospective study
with HR. Ali, PDP. Pharoah, F. Markowetz and C. Caldas
PLoS medicine 13 (12), e1002194
Teaching Experience
I have taught in both the BCS department at MIT (as a co-lecturer and a graduate student project advisor) and the SEAS department at Harvard (as a Teaching Fellow). During my PhD, I served as an intern supervisor at the CRUK department in the University of Cambridge.
Co-Lecturer
MIT - Brain + Cognitive Sciences Department
9.272J/HST.576J Topics in Neural Signal Processing
Teaching Fellow
Harvard School of Engineering and Applied Sciences
ENG-SCI 201 Decision Theory

About Me

Papers

Probabilistic Modeling

Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference
with A. Song, S. Subramanian, H. Soulat, J. Tauber, D. Ba and M. Prerau.
(in submission, NIPS 2018).

Causal Modeling Dissects Tumour–Microenvironment Interactions In Breast Cancer
with A. Godicelj and F. Markowetz.
(in preparation).

Cancer Data Informatics

Teaching Experience

I have taught in both the BCS department at MIT (as a co-lecturer and a graduate student project advisor) and the SEAS department at Harvard (as a Teaching Fellow). During my PhD, I served as an intern supervisor at the CRUK department in the University of Cambridge.

Co-Lecturer

MIT - Brain + Cognitive Sciences Department

Teaching Fellow

Harvard School of Engineering and Applied Sciences

About Me

Papers

Probabilistic Modeling

Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inferencewith A. Song, S. Subramanian, H. Soulat, J. Tauber, D. Ba and M. Prerau.(in submission, NIPS 2018).

Causal Modeling Dissects Tumour–Microenvironment Interactions In Breast Cancerwith A. Godicelj and F. Markowetz.(in preparation).

Cancer Data Informatics

Teaching Experience

I have taught in both the BCS department at MIT (as a co-lecturer and a graduate student project advisor) and the SEAS department at Harvard (as a Teaching Fellow). During my PhD, I served as an intern supervisor at the CRUK department in the University of Cambridge.

Co-Lecturer

MIT - Brain + Cognitive Sciences Department

Teaching Fellow

Harvard School of Engineering and Applied Sciences

Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference
with A. Song, S. Subramanian, H. Soulat, J. Tauber, D. Ba and M. Prerau.
(in submission, NIPS 2018).

Causal Modeling Dissects Tumour–Microenvironment Interactions In Breast Cancer
with A. Godicelj and F. Markowetz.
(in preparation).