Biostatistician · Statistical software developer

Atanu
Bhattacharjee

I build statistical methods and open-source software for survival, longitudinal, Bayesian and real-world evidence research.

  • University of Dundee — Academic Statistician & Senior Lecturer, School of Medicine
Atanu Bhattacharjee
237+
Peer-reviewed papers
3,950+
Citations
27
h-index
15
CRAN packages
138k+
Package downloads
£1.7M
Research funding
01

About

I am a biostatistician working at the intersection of methods research, clinical trials, and statistical computing. My work develops estimators and study designs for complex time-to-event and longitudinal data, and turns them into open-source tools that other researchers can use.

I am an Academic Statistician and Senior Lecturer in the Division of Population Health & Genomics at the University of Dundee Medical School, where I lead statistical work across clinical trials, cohort studies, and routinely collected health data, and teach on the MSc programmes in Global Health and Public Health.

Across 237 papers (h-index 27, i10-index 77), 15 CRAN packages, and four monographs, the through-line is the same: making rigorous statistical thinking usable — through published methods, reproducible software, and teaching.

02

Research interests

A

Joint longitudinal–survival models

Linking repeated biomarker trajectories to time-to-event outcomes.

B

Multistate & competing risks

Transition modelling, frailty, and proximity-score matching.

C

Bayesian adaptive trial design

Dose-finding, optimal biological dose, and predictive success.

D

Missing-data methodology

Multiple imputation and IPW for irregular longitudinal data.

E

High-dimensional survival

Feature selection and regularised modelling for genomic outcomes.

F

Real-world evidence

Causal and pharmacoepidemiological analysis of routine health data.

03

Appointments

Academic Statistician & Senior Lecturer
Division of Population Health & Genomics, Medical School, University of Dundee
2024 — present
Selected previous
Medical Statistician & Lecturer
Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester
2022 — 2023
Consultant Biostatistics
Mahidol Oxford Tropical Medicine Research Unit (MORU)
Assistant Professor, Biostatistics
Tata Memorial Centre, Mumbai
2017 — 2022
Senior Biostatistician
Chiltern Clinical Research Ltd
2016 — 2017
Assistant Professor, Biostatistics
Malabar Cancer Centre
2013 — 2016
04

Software

Fifteen packages on CRAN with more than 138,000 downloads, plus five deployed Shiny applications. Every package below links to its CRAN page.

Interactive applications
05

Books

Four research monographs published with Chapman & Hall / CRC Press.

06

Funding

More than £1.7M in awarded research funding, with a further £5.8M under review. Selected awards:

Blood culture pathway for patient safety & antimicrobial stewardship
NIHR Health & Social Care Delivery Research · £762,838
2026 —
Multitargeted PI3Kα / PDGFR / WNT-pathway inhibitor — Co-Investigator
The Brain Tumour Charity · £433,248
2026 — 2027
SenseCheQ@Home — early diagnosis of chemotherapy-induced neuropathy — Co-I
EPSRC (UKRI) · £393,187
2025 — 2028
Identifying patient subclasses in SHARE — Co-Investigator
Scottish Health Research Register, University of Dundee · £57,035
2024 — 2025
Longitudinal-trajectory platform for heart-failure risk prediction
TICR, University of Dundee · £10,000
2024 — 2025
Industry Exchange Programme
Institute for Precision Health & AstraZeneca, University of Leicester · £20,000
2023
07

Methodological work

Five methodological lines run through my research — each developed as published theory and released as open-source software.

Joint modelling
Longitudinal–survival joint models at scale
Dynamic, individualised risk prediction that links repeated biomarker trajectories to time-to-event outcomes in large, routinely collected datasets — including surface visualisation of the longitudinal–survival association structure.
Key work: BMC Medical Research Methodology (2024)  Software: jmBIG JMbdirect jmSurface
Dose finding
Optimal biological dose (OBD) determination
Algorithms and Bayesian designs to identify the optimum biological dose of metronomic and low-dose immunotherapy regimens, including keyboard-adaptive time-to-event (TITE) dose-finding for early-phase oncology trials.
Key work: Biometrical Letters (2018) · Annals of Data Science (2023)  Software: KA-TITE-OBD ↗
Multi-state survival
Survival proximity-score matching in multi-state models
A proximity-score matching estimator for censored-data imputation and causal contrasts across disease-state transitions in multi-state and competing-risks survival data.
Key work: IEEE Trans. Computational Biology & Bioinformatics (2026) · Scientific Reports (2024)  Software: dscoreMSM
Missing data
Incomplete markers in longitudinal–survival data
Inverse-probability-weighting, mean-score, and multiple-imputation methods for incomplete, time-dependent markers jointly measured with time-to-event outcomes — combined in a two-stage joint-model framework.
Key work: Expert Systems with Applications (2024) · Scientific Reports (2025, doi ↗)  Software: MIIPW MIGEE
High-dimensional survival
Feature selection for genomic time-to-event data
Machine-learning and accelerated-failure-time approaches for selecting prognostic features from high-dimensional cancer genome and protein-biomarker survival data.
Key work: Expert Systems with Applications (2022)  Software: highMLR afthd SurvHiDim
08

Supervision & service

Doctoral supervision · 7 PhDs awarded
Modeling of Gene Expression for Cancer Biomarkers using a Bayesian Framework
PhD, Biostatistics
Awarded 2021
Joint Models for Time-to-Event and Repeated Measurement Data
PhD, Biostatistics
Awarded 2021
Modeling of Missing Observations in Longitudinal Measurements
PhD, Biostatistics
Awarded 2021
Biological Network Analysis for Cancer Progression
PhD, Biostatistics
Awarded 2024
Bayesian Models and Classification of High-Dimensional Gene Expression Data
PhD, Biostatistics
Awarded 2025
Multi-State Survival Modelling and Applications for Time-to-Event Data
PhD, Biostatistics
Awarded 2026
Handling Missing Values in Longitudinal and Survival Data
PhD, Biostatistics
Awarded 2026
Fiza Nazir Qureshi
MSc dissertation
Awarded 2025
Teaching
  • MSc Global Health — quantitative methods and applied data analysis for health research
  • MSc Public Health — biostatistics, epidemiological methods, and statistical interpretation
Editorial boards
  • BMC Medical Research Methodology
  • PLOS Global Public Health
  • Scientific Reports
  • Cancer Reports
09

Education

PGCAPHE
Postgraduate Certificate in Academic Practice in Higher Education
2025
PhD, Statistics
Gauhati University — Bayesian analysis for longitudinal data on type 2 diabetes patients
2012
MSc, Biostatistics
Banaras Hindu University
2008
BSc, Statistics
Burdwan University
2006
Get in touch

Open to collaboration

Methods projects, trial statistics, consultancy, and biostatistics training — I'm happy to hear from you.