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 and inform program-level decisions. My methodological work spans multistate and survival models, Bayesian computation, estimands, 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, and oncology.
Previously, I spent six years at the NIAID Biostatistics Research Branch, where I served as lead statistician on clinical trials for COVID-19 therapeutics and vaccines, malaria transmission-blocking vaccines, and allergic diseases β collaborating with regulatory agencies, CROs, and external investigators, and serving 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
Frameworks for defining treatment effects under the ICH E9(R1) estimand framework, including SMART designs for handling 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. National recognition as a statistical technical expert.
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 2Publications
Biostatistics, 2025 Β· π ASA Lifetime Data Science Best Paper Award
The Journal of Infectious Diseases, 2025
A vaccine to block Plasmodium falciparum transmission
NEJM Evidence, 2025
Journal of Exposure Science & Environmental Epidemiology, 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
The Annals of Applied Statistics, 2024
PLoS ONE, 2024
The Lancet Infectious Diseases, 2023
Nature Communications, 2023
Critical Care Explorations, 2023
Biometrics, 2022 Β· π Breslow Young Investigator Award, ASA, 2020
Open Forum Infectious Diseases, 2022
Proceedings of the National Academy of Sciences, 2022
Assessing vaccine durability in randomized trials following placebo crossover
Statistics in Medicine, 2021
Clinical Infectious Diseases, 2021
Annals of Internal Medicine, 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
Efficient data augmentation for fitting stochastic epidemic models to prevalence data
Journal of Computational and Graphical Statistics, 2017
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