Short Bio: Dr. Tanujit Chakraborty is an Associate Professor of Statistics and Data Science at Sorbonne University Abu Dhabi, UAE and Sorbonne Center for Artificial Intelligence, Paris, France. He is also an Adjunct Associate Professor at Duke-NUS Medical School, National University of Singapore, and an affiliated faculty member at New York University Abu Dhabi. He completed his HDR in Mathematics from Sorbonne Université, Paris, and PhD in Statistical AI from the Indian Statistical Institute (ISI), Kolkata. His primary research interests include Machine Learning, Time Series Forecasting, Spatial Statistics, and Health Data Sciences. Dr. Tanujit Chakraborty has maintained an active consulting practice, assisting PharmaACE, ITC Limited, and Bajaj Finserv Corporation. ​

 

Career

March 2026​
​​
​


​
​Jan 2026 -
​
​Sept 2024 -


​​2021 - 2024

​2016 - 2020



​
​2014 - 2026

​
​2010 - 2013

Habilitation à diriger des recherches (HDR) in Mathematics from Sorbonne Université, Paris, France. 
​Thesis Title: Contributions to Time Series Forecasting and Statistical Learning
Jury President: Gérard Biau, Professor, LPSM and Director of SCAI, Sorbonne Université, Paris. 
Examiners: Claire Boyer, Nicolas Thome, Laurent Najman
Referees: Benjamin Guedj, Sujit Ghosh, Jialiang Li
​
​​​Adjunct Associate Professor, Duke-NUS Medical School, National University of Singapore.​​
​
​Associate Professor of Mathematics (Statistics and Data Science) at Sorbonne University Abu Dhabi and Sorbonne Center for Artificial Intelligence (SCAI), Sorbonne Université Paris (formerly Université Pierre et Marie Curie, Paris VI). 
Assistant Professor of Mathematics (Statistics and Data Science) at Sorbonne University Abu Dhabi.
​
​Doctor of Philosophy (Ph.D.) from the Indian Statistical Institute, Kolkata, India.​
Thesis Title: Some Nonparametric Hybrid Predictive Models: Asymptotic Properties and Applications
Reviewers: Fabrizio Ruggeri and Sounak Chakraborty
Examiners: Pabitra Mitra and Ashis Chakraborty (Supervisor)

​Master of Science (MS) from the Indian Statistical Institute, Kolkata, India.​
Project: Statistical Methodology for Process Efficiency Improvement at ITC Limited, Tribeni, India.

​Bachelor of Science (B.Sc.) from Bidhannagar College, Kolkata, India.
Subjects: Statistics (Honours), Mathematics, Physics.

Teaching

​Sept 2021 - 
July - Oct 2021
June - Nov 2021​

Teaching at Sorbonne University Abu Dhabi and Sorbonne Center for AI (SCAI)
Teaching "Data Analytics" course (MBA) at the Indian Institute of Foreign Trade (IIFT), India
​Teaching "Causal Inference in Statistics" course at XIM University, Bhubaneswar, India. 

Visiting Positions

January 2026
June 2025
​January 2025
June 2024
​July 2023

Visiting Faculty at BITS Pilani, Hyderabad Campus, India
Visiting Faculty at IMI Kolkata, India
Visiting Faculty at VIT Vellore, India
Visiting Faculty at Duke-NUS Medical School, Singapore
Visiting Faculty at Duke-NUS Medical School, Singapore

Consultancy

Dec 2022 - Mar 2023
Dec 2020 - Feb 2021

Statistical Consultant for Pharma Forecasting Tool Development, PharmaACE Analytics Pvt. Ltd.
​Statistical Consultant for Data Science Consulting Assignment at BIU, Bajaj Finance Ltd.

Awards

Feb 2026
​Jan 2021
Dec 2019

​Dec 2017

Best Paper Award at the IT and Systems track of the AIRC Conference 2026, organized by IIM, Lucknow.
​Best Paper Award Winner at ACM 2021 IKDD (CODS-COMAD) in the Research Track.
Best Student Paper Award (Application Category) at the 52nd Annual Convention of ORSI & International Conference held at IIM Ahmedabad.
​B.G. Raghavendra Memorial Award for Best Paper (Application Category) from the Operational Research Society of India (ORSI).

Grants

Sep 2026 - Aug 2029

Sep 2025 - Aug 2028​

Aug 2025 - July 2026​

Oct 2024 - Sept 2025
​​
July 2024 - Jun 2027
​
​May 2021 - Dec 2023

SAFIR Research Grant for project "Safe and Trustworthy Robotics Control via Neuro-Symbolic AI Models"
Role: PI (jointly with Dr. Grace Younes); Funding: 600K AED; Duration: 3 years.
​SOUND.AI Research Grant from SCAI Paris for project "Advancing Machine Learning Systems for Temporal Healthcare Data"; Role: PI; Funding: 600K AED; Duration: 3 years.
SAFIR Research Grant for project "Design and Analysis of AI Systems for Infectious Disease Modeling"
Role: PI; Funding: 65K AED; Duration: 1 Year.
SAFIR Research Grant for project "Designing Spatio-Temporal Deep Learning Solutions for Climate Data Modeling"; Role: Co-PI; Funding: 80K AED; Duration: 1 Year.
Recipient of Mphasis Research Grant for project "Deep Learning for Climate Change"; Role: Co-PI, Funding: 3 million INR; Duration: 3 Years.
Recipient of Mphasis Research Grant in Cognitive Computing; Role: Co-PI, Funding: 3 million INR.
​

Academic Services

March 2026
​2026
2021-2023

Reviewer

Member of the Editorial Board for IOP Machine Learning: Health
​Member of the Program Committee of ITISE Conference 2026
Member of the Program Committee of the ICMLA Conference

JASA - Theory and Methods, JRSS - Series A, SIAM Journal on Applied Dynamical Systems, Neural Networks, ​Biometrics, IEEE TPAMI, IEEE Information Theory, IEEE TNNLS, IEEE TKDE, IEEE TIP, International Journal of Forecasting, Statistics in Medicine, Reliability Engineering & System Safety, Technological Forecasting & Social Change, PLOS Computational Biology, Journal of Applied Statistics, Journal of Computational and Applied Mathematics, Expert Systems with Applications, Scientific Reports, Finance Research Letters, Stochastic Environmental Research and Risk Assessment, Computers in Biology and Medicine, Computational Economics, Engineering Applications of Artificial Intelligence, IEEE JBHI, PLOS Digital Medicine, PLOS One.