Jon Fintzi
Associate Director, Statistical Methodology & Innovation
Bristol Myers Squibb
I am a biostatistician who develops novel statistical methods and provides strategic statistical leadership for clinical development programs. I guide product teams on innovative study designs β including adaptive and Bayesian approaches β and use modeling and simulation to quantify the benefit, risk, and uncertainty of emerging product profiles, probability of technical success, and program-level decisions. My methodological work spans multistate and survival models, Bayesian computation, multiple testing procedures, causal inference and real-world data, and stochastic processes, with open-source software implementations in R, Julia, and C++. I lead cross-functional collaborations across therapeutic areas including vaccines, immunotherapy, neuroscience, oncology, and cell therapy.
Previously, I spent six years at the NIAID Biostatistics Research Branch, where I supported clinical trials for COVID-19 therapeutics and vaccines, malaria transmission-blocking vaccines, and allergic diseases β collaborating with internal and external investigators and CROs, engaged in statistical methods research, and served as executive secretary of a data safety monitoring board.
Research Interests
Innovative Study Design
Design consultation for adaptive, Bayesian, and platform trials across development phases. Promoting fit-for-purpose designs that balance speed, quality, and scientific rigor for product strategy.
Modeling & Simulation
Simulation-based approaches for sample size estimation, interim analysis design, trial operating characteristics, and disease progression modeling to inform and optimize clinical development plans.
Benefit-Risk Quantification
Quantifying the benefit, risk, value, and uncertainty of emerging product profiles using multistate models and simulation to support program-level decision-making and probability of technical success.
Vaccines & Immunotherapy
Statistical strategies for vaccine trials including immune correlates analysis, durability assessment, and transmission-blocking vaccine efficacy β with deep experience across COVID-19, malaria, and immunological conditions.
Estimands & Causal Inference
Framing and estimating complex estimands with multistate models, with focus on handling of intercurrent events. Cross-industry working group contributor.
Methods Development & Software
Novel statistical methodology with open-source implementations in R, Julia, and C++. Award-winning publications in Biostatistics, Biometrics, and Statistics in Medicine.
Open-Source Software
MultistateModels.jl
JuliaSimulation and inference for multistate models fit to panel data. Used for disease progression modeling, benefit-risk quantification, and clinical trial design optimization via simulation.
β 6stemr
RBayesian inference for stochastic compartmental models via the linear noise approximation. Applied to vaccine trial design, outbreak forecasting, and transmission dynamics estimation.
β 9BDAepimodel
RTractable fitting of stochastic epidemic models via Bayesian data augmentation. Implements MCMC algorithms for SIR-type models with exact likelihood computation.
β 5ECctmc
C++Simulation of sample paths for endpoint-conditioned continuous time Markov chains. Efficient C++ implementation via Rcpp.
β 2Selected Publications
Statistical Methodology
Biostatistics, 2025 Β· π ASA Lifetime Data Science Best Paper Award (I was senior author)
The Journal of Infectious Diseases, 2025
The Annals of Applied Statistics, 2024
Biometrics, 2022 Β· π Breslow Young Investigator Award, ASA, 2020
Assessing vaccine durability in randomized trials following placebo crossover
Statistics in Medicine, 2021
Annals of Internal Medicine, 2021
Efficient data augmentation for fitting stochastic epidemic models to prevalence data
Journal of Computational and Graphical Statistics, 2017 Β· π Best Oral Presentation, IBC, 2016
Scientific Manuscripts
A vaccine to block Plasmodium falciparum transmission
NEJM Evidence, 2025
Journal of Exposure Science & Environmental Epidemiology, 2025
Urinary trace metal levels in humans from NHANES cohort associated with municipal water exposure and NTM infection
American Journal of Respiratory and Critical Care Medicine, 2025
Neutralizing antibody immune correlates for a recombinant protein vaccine in the COVAIL trial
Clinical Infectious Diseases, 2025
Nature Communications, 2025
Omicron COVID-19 immune correlates analysis of a third dose of mRNA-1273 in the COVE trial
Nature Communications, 2024
PLoS ONE, 2024
The Lancet Infectious Diseases, 2023
Nature Communications, 2023
Critical Care Explorations, 2023
Open Forum Infectious Diseases, 2022
Proceedings of the National Academy of Sciences, 2022
Clinical Infectious Diseases, 2021
The Journal of Clinical Investigation, 2021
NPJ Vaccines, 2021
Immune correlates of protection by mRNA-1273 vaccine against SARS-CoV-2 in nonhuman primates
Science, 2021
An immune-based biomarker signature is associated with mortality in COVID-19 patients
JCI Insight, 2021
Annals of Allergy, Asthma & Immunology, 2021
PLoS Pathogens, 2020
Mycobacterial testing trends, United States, 2009β2015
Emerging Infectious Diseases, 2020
Atmospheric Environment, 2017
Multi-pollutant mobile platform measurements of air pollutants adjacent to a major roadway
Atmospheric Environment, 2014
Discussions
Awards
- Best Paper Award β ASA Lifetime Data Science Section, Joint Statistical Meetings, 2025. For Morsomme et al. (2025), Biostatistics.
- NIH Director's Award β Advancing COVID-19 Vaccines: ACTIV and HHS Collaborations, 2021.
- Breslow Young Investigator Award β ASA Statistics in Epidemiology Section, Joint Statistical Meetings, 2020. For Fintzi, Wakefield, & Minin (2022), Biometrics.
- Best Oral Presentation β 28th International Biometric Conference, 2016. For Fintzi et al. (2017), JCGS.
Contact
fintzij@gmail.com
github.com/fintzij
ORCID: 0000-0002-6361-702X