Fausto Andres Bustos Carrillo, PhD

Infectious disease epidemiologist & Data scientist

Hi there! My day job involves being a Postdoctoral Fellow in the Viral Epidemiology and Immunity Unit at the National Institute of Allergy and Infectious Diseases (NIAID) while also collaborating with researchers at the Uniformed Services University. I provide epidemiological analyses, computational and statistical assistance, and substantive scientific knowledge to further NIAID’s research mission. My particular expertise is in the epidemiology of viral epidemic threats, particularly COVID, dengue, Zika, and chikungunya. Since 2015, I have conducted epidemiological, clinical, and spatial research on epidemics of these viral diseases in Managua, Nicaragua. When not playing kickball or watching cooking-centric reality TV shows, you can find me immersed in a good stats book or eating key lime pie.


  • Epidemiology
  • Biostatistics
  • Data science & visualization
  • Infectious diseases
  • R & the tidyverse


  • PhD in Epidemiology, 2020

    University of California, Berkeley

  • MA in Biostatistics, 2019

    University of California, Berkeley

  • MS in Epidemiology, 2014

    Harvard University

  • BA in Human Biology, 2012

    Stanford University

  • BA in Political Science, 2012

    Stanford University



10 years of experience, preferred statistical programming language


2 years of experience

Epidemiology & Statistics

8 years of graduate training


Intermediate user

ArcGIS & SaTScan

Intermediate user


Native English and Spanish speaker

Research experience


Data Science Fellow

Oak Ridge Institute for Science and Technology

Sep 2021 – Sep 2023 Bethesda, MD

Collaborated with NIAID to:

  • Analyze the depth of data science usage in the scientific literature across 212 priority areas for NIAID
  • Evaluate the IgG response to COVID-19 vaccinations and SARS-CoV-2 infections
  • Characterize uses of human, animal, and environmental data in federal agencies
  • Port key parts of the eventglm R package for survival analysis into Python

Director of Epidemiology and Statistics

Sustainable Sciences Institute

Jun 2020 – Aug 2021 San Francisco, CA

Responsibilities included:

  • Research the clinical and spatial aspects of dengue, chikungunya, Zika, and COVID-19 epidemics in Managua, Nicaragua
  • Contribute to many research projects at the Sustainable Sciences Institute and the Harris research program at UC Berkeley
  • Provide epidemiological and biostatistical support to colleagues in Ecuador; at the University of Michigan, Ann Arbor; and at the National University of Singapore

PhD Candidate and Graduate Student Researcher

University of California, Berkeley

Aug 2014 – May 2020 Berkeley, California

Responsibilities included:

  • Analyzed clinical, epidemiological, and spatio-temporal aspects of Zika, chikungunya, and dengue virus epidemics in the Pediatric Dengue Cohort Study (N ≈ 4,050)
  • Worked collaboratively with ~200 colleagues to design new studies
  • Taught R and applied statistics workshops to members of my research group

Research Intern and Guest Researcher

Centers for Disease Control and Prevention,
Enteric Disease Epidemiology Branch

Aug 2013 – Feb 2017 Atlanta, Georgia

Responsibilities included:

  • Combined, cleaned, and verified data in multiple federal and state databases
  • Analyzed all reported cases of campylobacteriosis in the US from 2004 - 2012
  • Helped to design data intake forms that CDC used for ill American travelers returning from locales experiencing the MERS-CoV epidemic

Research Assistant

Various Research Groups

May 2009 – May 2014

Conducted research on:

  • Influenza epidemiology at Harvard University, 2013 - 2014
  • Political communication at Stanford University, 2011
  • Cellular development of corn at the University of California, San Diego, 2010
  • Molecular genetics of corn at Stanford University, 2009 - 2012