Founders

Huy Phan

Co-founder

Director, Deep Learning

Senior Research Scientist

Amazon AGI

Viet-Dung Nguyen

Co-founder

Director, Complex Systems

Group Leader, École Nationale Supérieure 

de Techniques Avancées

Oliver Y. Chén

Founder

Director, Statistics

Advisory board

Our advisors oversee our efforts to stay grounded and focused at the forefront of research.

Brian Caffo

Professor

Biostatistics

Johns Hopkins University

Tyrone Cannon

Clark L. Hull Professor

Psychology and Psychiatry

Yale

Nairanjana Dasgupta

Boeing Distinguished Professor

Science and Mathematics

WSU

Guy Nagels

Chair of AIMS

Member, Royal Academy of Medicine 

UZ Brussel

Bryn Roberts

SVP

Global Head, Data and Analytics

Roche

Palie Smart

Associate Pro 

Vice Chancellor

University of Bristol

Lionel Tarassenko, CBE

Pro-Vice Chancellor

Non-political life peer, House of Lords

University of Oxford

Semir Zeki, FRS

Professor

Neuroesthetics

University College London

Affiliated group members

Haochang Shou

Associate Professor

of Biostatistics

University

of Pennsylvania

Expertise: MRI methods

Maarten de Vos

Professor

of Engineering and Medicine

Katholieke Universiteit

Leuven

Expertise: EEG methods

Haoyu Zhang

Stadtman Investigator 

of Statistical Genetics

National Cancer Institute

National Institutes of Health

Expertise:  Multi-ancestry genetics

Guanghao Qi

Assistant Professor 

of Biostatistics

University of 

Washington

Expertise: Transcriptomics

Jiangtao Gou

Associate Professor 

of Statistics

Villanova 

University

Expertise: Multiple comparisons

Linh-Trung Nguyen

Director

Associate Professor

Advanced Institute 

of Engineering and Technology

Expertise: Blind source separation

Jeroen van Schependom

Assistant Professor

of Neurology

Vrije Universiteit

Brussel

Expertise: Neurophysiology

Zoe Zhang

Associate Professor

of Psychological and Brain Sciences

Drexel

University

Expertise: Neuroimaging

Hengyi Cao

Assistant Professor

of Psychiatry

Feinstein Institutes

for Medical Research

Expertise: Brain connectivity

Postdocs and PhDs

Julien Stéphane Bodelet PhD, MS

Team Leader, Statistical Methods

Last institutions: 

U Zürich, U Cambridge & U Genève

High-dimensional methods & semi-parametric methods

PhD, MS, MA

Team Leader, Machine-learning Theory

Last institutions: 

U St. Gallen, U Zürich & U Genève 

M-estimator; deep generative models; latent variable models

Benjamin Story PhD, MSc

Team Leader, Statistical Genetics

Last institutions: 

ETH Zürich, Sophia Genetics & Stower Institute

Statisticsl genetics, single-cell transcriptomics, RNA-seq

Stijn Denissen PhD, MScEng

Team Leader, Federated Learning

Last institution: 

Vrije Universiteit Brussel 

Federated learning; predictive modeling; MRI; clinical data

:-)

Team Leader, Computational Biology

Jorne Laton PhD, MScEng

Team Leader, High-performance Computing

Last institution: 

University of Oxford

Software development & high-performance computing

Duy Thanh Vũ MS, MS

Lab Manager & PhD Student

Last institutions:

Paris-Saclay & Advanced Institute

Deep neural networks; 

tensor methods; data fusion

Christelle Schneuwly Diaz MSc

PhD Student

Last institutions:

EPFL & Idiap

XAI; 

multimodal data analysis 

Duy Cát Cấn MSc

PhD Student

Last institutions:

Vietnam National University & Nanyang Technological University

Foundation models

Maggie Ryan MSc

PhD Student

Last institutions:

University of Ottawa & Memorial University of Newfoundland

Statistics

Sophie Tascedda MSc

PhD Student

Last institutions:

Maastricht University & Modena e Reggio Emilia

Data science; neuroimaging

:-)

AGI

Narmina Baghirova MSc

Visiting PhD Student

Last institutions:

University of Fribourg & University of Primorska 

Algorithmic graph theory; combinatorial optimization

Jimena Belén Ráez Pereyra

Bioinformatician

(Full scholarship via REPU)

Last institution:

Universidad Peruana Cayetano Heredia

Molecular biology; 

bioinformatics

Tom Sulter MS Physics

Biostatistician

Last institutions:

EPFL & UC Berkeley

High-dimensional models;   longitudinal models

:-)

Machine learning for retrospective disease prediction

:-)

Machine learning for longitudinal forecasting

Alumni

Nikesh Amlani

Vasul Chaturvedi

Yueyuan Li

Anirudh Kaul

Weixi Kong

Joe Dowd

Ali Rabbani-Gaghighi 

Hortense Renard

Adrianna Jezierska

Enzo Dallaglio

AJ Carter