AeroLeads people directory · profile
Leah Comment Email & Phone Number
Senior Principal Statistical Scientist
at
Genentech
1 work email found
@foundationmedicine.com
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Senior Principal Statistical Scientist
Location
Cambridge, Massachusetts, United States
Company size
Who is Leah Comment? Overview
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Quick answer
Leah Comment is listed as Senior Principal Statistical Scientist at Genentech, a with 18231 employees, based in Cambridge, Massachusetts, United States. AeroLeads shows a work email signal at foundationmedicine.com and a matched LinkedIn profile for Leah Comment.
Leah Comment previously worked as Causal Modeling Lead at Foundation Medicine and Director, Decision Sciences at Foundation Medicine. Leah Comment holds Doctor Of Philosophy (Ph.D.), Biostatistics, 3.75 from Harvard University.
Company email context
Email format at Genentech
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{first_initial}{last}@foundationmedicine.com
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Profile bio
About Leah Comment
I am a biostatistician who is passionate about applying causal inference methods to real world data. I envision a learning health care system that puts patients first and enables widespread access to personalized health care. My technical expertise is in Bayesian statistics, frequentist and Bayesian causal inference, ensemble learning, and data-driven sensitivity analysis; I also draw upon my experience with health policy, economics, decision theory, and human biology. I am enthusiastic about opportunities to broadly impact human health using scalable technologies.In my current position, I conduct research to develop statistical methods at the interface between causal inference and decision theory in order to support future evidence generation tools and clinical decision support systems.I welcome opportunities to collaborate externally!
Listed skills include Statistics, Causal Inference, R, Python, and 22 others.
Current workplace
Leah Comment's current company
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Genentech
12 roles
Leah Comment work experience
A career timeline built from the work history available for this profile.
Causal Modeling Lead
Current
Jan 2023 - Present
Director, Decision Sciences
Current
Mar 2021 - Present
Associate Director, Decision Sciences
Jun 2019 - Mar 2021
Biostatistics Phd Candidate
My dissertation research focused on Bayesian models for causal inference, including (1) data integration for sensitivity to unmeasured confounding, (2) continuous time principal stratification approaches to semicompeting risks, and (3) network-of-trees Bayesian machine learning to estimate causal contrasts. Application areas were health disparities, quality of care metrics, and time-to-event models in oncology.PhD advisor: Corwin Zigler (University of Texas-Austin, Harvard)Committee… Show more My dissertation research focused on Bayesian models for causal inference, including (1) data integration for sensitivity to unmeasured confounding, (2) continuous time principal stratification approaches to semicompeting risks, and (3) network-of-trees Bayesian machine learning to estimate causal contrasts. Application areas were health disparities, quality of care metrics, and time-to-event models in oncology.PhD advisor: Corwin Zigler (University of Texas-Austin, Harvard)Committee members: Linda Valeri (Columbia), Sebastien Haneuse (Harvard)Fellowship supervisor: Fabrizia Mealli (University of Florence) Show less
Aug 2014 - May 2019
Graduate Student Research Assistant (Gsra)
Data manager for a study of air pollution and birth outcomes in Mexico City. Statistical consultant for Epidemiology and Environmental Health Science students analyzing data for their MPH capstone projects.
Sep 2012 - Jul 2014
Epidemiology And Biostatistics Graduate Student
Dual degree biostatistics (MS) and epidemiology (MPH)
Aug 2011 - May 2014
Research Assistant
Responsible for data entry, cleaning, and statistical analysis on projects relating to youth violence and substance use.
Sep 2011 - Sep 2012
Research Assistant
Research analyst for the Dialysis Outcomes and Practice Patterns Study.
May 2013 - Aug 2013
Research Assistant
Summer internship consisting of analyses relating to the Dialysis Outcomes and Practice Patterns Study (DOPPS).
May 2012 - Aug 2012
Jun 2009 - Jul 2010
Professorial Assistant In Department Of Microbiology And Molecular Genetics
Completed a research project in microbial genomics lab. Worked independently to characterize a transcription factor of Bacillus subtilis.
Sep 2005 - May 2006
Team & coworkers
Colleagues at Genentech
Other employees you can reach at gene.com. View company contacts for 18231 employees →
JL
Jan Leach
Colleague at GenentechUnited States
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EB
Ed Bagliani
Colleague at GenentechRoanoke, Virginia, United States
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GP
Guy Pagsolingan
Colleague at GenentechSouth San Francisco, California, United States
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DW
Danelle Weakland, Ph.D.
Colleague at GenentechSan Francisco Bay Area, United States
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AH
Annette Hampton, Dnp
Colleague at GenentechSan Jacinto, California, United States
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AH
Amy Hsieh
Colleague at GenentechSan Ramon, California, United States
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NK
Natalie Kerns
Colleague at GenentechSouth San Francisco, California, United States
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JP
Jackie Pollard
Colleague at GenentechSan Francisco Bay Area, United States
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DR
Darlene Reynolds
Colleague at GenentechPhiladelphia, Pennsylvania, United States
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MU
Maryann Ubamos
Colleague at GenentechPortland, Oregon, United States
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Jan Leach
Colleague at GenentechUnited States
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EB
Ed Bagliani
Colleague at GenentechRoanoke, Virginia, United States
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GP
Guy Pagsolingan
Colleague at GenentechSouth San Francisco, California, United States
View →
DW
Danelle Weakland, Ph.D.
Colleague at GenentechSan Francisco Bay Area, United States
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AH
Annette Hampton, Dnp
Colleague at GenentechSan Jacinto, California, United States
View →
AH
Amy Hsieh
Colleague at GenentechSan Ramon, California, United States
View →
NK
Natalie Kerns
Colleague at GenentechSouth San Francisco, California, United States
View →
JP
Jackie Pollard
Colleague at GenentechSan Francisco Bay Area, United States
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DR
Darlene Reynolds
Colleague at GenentechPhiladelphia, Pennsylvania, United States
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MU
Maryann Ubamos
Colleague at GenentechPortland, Oregon, United States
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4 education records
Leah Comment education
Doctor Of Philosophy (Ph.D.), Biostatistics, 3.75
Master’S Degree, Biostatistics
Master Of Public Health (Mph), Ms, Epidemiology, Biostatistics, 4.0
B.S., Microbiology And Molecular Genetics, 3.67
Michigan State University Honors College
FAQ
Frequently asked questions about Leah Comment
Quick answers generated from the profile data available on this page.
What company does Leah Comment work for?
Leah Comment works for Genentech.
What is Leah Comment's role at Genentech?
Leah Comment is listed as Senior Principal Statistical Scientist at Genentech.
What is Leah Comment's email address?
AeroLeads has found 1 work email signal at @foundationmedicine.com for Leah Comment at Genentech.
Where is Leah Comment based?
Leah Comment is based in Cambridge, Massachusetts, United States while working with Genentech.
What companies has Leah Comment worked for?
Leah Comment has worked for Genentech, Foundation Medicine, Harvard University, University Of Michigan School Of Public Health, and Arbor Research Collaborative For Health.
Who are Leah Comment's colleagues at Genentech?
Leah Comment's colleagues at Genentech include Jan Leach, Ed Bagliani, Guy Pagsolingan, Danelle Weakland, Ph.D., and Annette Hampton, Dnp.
How can I contact Leah Comment?
You can use AeroLeads to view verified contact signals for Leah Comment at Genentech, including work email, phone, and LinkedIn data when available.
What schools did Leah Comment attend?
Leah Comment holds Doctor Of Philosophy (Ph.D.), Biostatistics, 3.75 from Harvard University.
What skills is Leah Comment known for?
Leah Comment is listed with skills including Statistics, Causal Inference, R, Python, Unix, Sas, Git, and Rcpp.
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