Blood Drive – Harvard Chan Community Day of Service
Sign up by searching sponsor code HARVARDCHAN
As part of the Harvard Chan Community Day of Service, sign up to donate blood with the American Red Cross on Tuesday, September 30th from 10:00 a.m to 3:00 p.m. Event is located on the second floor of Kresge in the student lounge.
Organizers
Zoom Town Hall with Dean Baccarelli
Dean Andrea Baccarelli will be hosting a Zoom Town Hall on Wednesday, Oct. 1 from 1-2 p.m. Please share your questions in advance using this form.
Log in on Wednesday at 1 p.m. at this link: https://hsph.me/town-hall
Speaker Information
Andrea Baccarelli, MD, PhD
Organizers
Harvard Chan Community Day of Service
Please register now to join the Harvard Chan Community Day of Service on Monday, Sept. 29.
This is an annual event that brings together our full community—students, staff, faculty, trainees, and other academic appointees—to work side by side supporting nonprofits and neighborhood groups that are tackling social determinants of health across Boston.
We have lined up more than 20 service projects on campus and across Boston to address social determinants of health.
Most projects will take place on Monday, Sept. 29, 2025, but we also have some activities the previous weekend—and, new this year, we will be hosting a Red Cross Blood Drive on Tuesday, Sept. 30, 2025.
Whether you can spare a few minutes or a few hours, you can contribute in meaningful ways. Many of the projects and the Blood Drive have a limited number of slots, so sign up soon!
Please carefully review the dates, times, and locations before signing up — and mark the information on your calendar!
You will be responsible for your own transportation to the project sites; most are easily accessible on public transit.
You can sign up for more than one project, but please be mindful that slots are limited, so please sign up only for activities you have every intention of joining.
Organizers
Brown Bag Seminar: Sharing experiences and discussing the future of Fukushima in radiation education at Fukushima Medical University
Isamu Amir is a research fellow in the Takemi Program in International Health at the Harvard T.H. Chan School of Public Health and an assistant professor in the department of radiation health management at Fukushima Medical University (FMU) School of Medicine. Amir obtained his PhD from Tokyo Institute of Technology in 2018, where he specialized in translation studies in linguistics and science communication. He has worked with the Consulate General of Japan in Boston, University of Tokyo, and Ministry of the Environment (MOE). He is dedicated to addressing discrimination, prejudice, and unfounded rumors about the health effects of radiation exposure derived from the Fukushima nuclear accident.
Speaker Information
Isamu Amir
Organizers
Student Meet and Greet with the Initiative on Health and Homelessness
✨ Come meet the Initiative on Health and Homelessness at Harvard Chan! ✨
Join us for an engaging meet-and-greet with the Initiative on Health and Homelessness (IHH), a collaborative hub bringing together research, practice, and policy to address one of today’s most pressing public health challenges. This is your chance to learn about our work, connect with our Steering Committee, faculty, staff, and partners, and discover opportunities to get involved.
You’ll also meet the Chan Coalition to End Homelessness (CCEH), our dynamic student group leading advocacy, action, and awareness-building efforts across campus. Whether you’re interested in research, policy, service, or community engagement, there are many ways to contribute and make an impact.
✨ Don’t miss this chance to expand your network, explore meaningful opportunities, and help advance solutions to homelessness.
🍴 Lunch will be provided!
Organizers
Harvard Chan School Day of Service
We have lined up more than 20 service projects on campus and across Boston to address social determinants of health.
Most projects will take place on Monday, Sept. 29, 2025, but we also have some activities the previous weekend—and, new this year, we will be hosting a Red Cross Blood Drive on Tuesday, Sept. 30, 2025.
Please carefully review the dates, times, and locations before signing up — and mark the information on your calendar! Click here for more information: hsph.me/dos-signup
You will be responsible for your own transportation to the project sites; most are easily accessible on public transit.
You can sign up for more than one project, but please be mindful that slots are limited, so please sign up only for activities you have every intention of joining.
Organizers
Protecting Young Children From the Impacts of Wildfires
Wildfire smoke is becoming an increasingly common part of childhood in many parts of the US. While we often associate wildfires with remote or forested locations, they are increasingly happening in more urban settings—such as the January 2025 fires in Los Angeles—and the smoke can travel thousands of miles, remaining highly toxic. This means that exposure to wildfire smoke is a growing concern far beyond fire zones, with implications for the health and development of young children in both the short term and throughout their lifespan.
Join us for a live discussion on how wildfire smoke affects young children, focusing on how the LA Fire HEALTH Study aims to better understand the short- and long-term health impacts of wildfires. The study addresses the need for answers in the LA community and has broader implications for many communities across the US that are increasingly dealing with wildfire smoke.
Panelists will share emerging findings from the study and how these insights can guide efforts to reduce exposure, support children and caregivers, and protect healthy development—especially for those most affected by recent wildfires.
The discussion will be led by our Chief Science Officer, Lindsey Burghardt, MD, MPH, FAAP, and will feature panelists Joseph Allen, DSc, MPH, Associate Professor at the Harvard T.H. Chan School of Public Health and Director of the Harvard Healthy Buildings Program, and Sujeet Rao, Health and Wellbeing Practice Director at the Public Exchange at the University of Southern California.
Speakers
Moderator
Joseph G. Allen
<strong>Sujeet Rao</strong>
<strong>Lindsey C. Burghardt</strong>
Organizers
Deep Learning–Based Estimator for the Non-Iterative Conditional Expectation (NICE) g-Formula
Join us on Wednesday, October 22 for the “Works In Progress” Epidemiology Seminar Series, featuring Dr. Jing Li discussing Deep Learning–Based Estimator for the Non-Iterative Conditional Expectation (NICE) g-Formula.
Abstract: The g-formula can be used to estimate causal effects of sustained treatment strategies using observational data under the identifying assumptions of consistency, positivity, and exchangeability. The non-iterative conditional expectation (NICE) estimator of the g-formula also requires correct estimation of the conditional distribution of the time-varying treatment, confounders, and outcome. Parametric models, which have been traditionally used for this purpose, are subject to model misspecification, which may result in biased causal estimates, particularly in high-dimensional or nonlinear settings. To address these limitations, we propose a unified deep learning framework for the NICE g-formula that leverages recurrent neural networks to flexibly model the joint conditional distribution of time-varying variables. Through simulation studies, we demonstrate the advantages of the proposed deep learning–based estimator over conventional parametric approaches and establish its statistical validity through uncertainty quantification.
Bio: Dr. Jing Li is a Postdoctoral Research Fellow at CAUSALab in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health, working under the mentorship of Prof. Miguel Hernán. Her research focuses on combining causal inference and machine learning to better understand the effects of treatments and interventions in complex longitudinal settings. Her current work includes advancing g-formula methods, developing deep learning techniques to improve the estimation of sustained treatment effects, and building large-scale simulation experiments to evaluate the performance of deep learning-based estimators. Her work has appeared in leading venues such as CVPR, ICLR, AAAI, IEEE Transactions on Image Processing (TIP), and NeurIPS workshops. In addition to academic publications, she is the primary developer of the open-source Python package pygformula, and also contributes to several other causal inference software packages, including gfoRmula and gfoRmulaICE. Jing Li received her Ph.D. in Computer Science from Peking University, where she was advised by Prof. Yizhou Wang in the School of Computer Science. She received her bachelor’s degree in Statistics from the School of Mathematics and Statistics at Wuhan University.
Speaker Information
Jing Li, PhD
Organizers
Related Events
Social Demography Seminar with John Wilmoth
John Wilmoth, PhD presents “The future of world population: Divergent trends, competing narratives, and the role of the United Nations.”
Speaker Information
John Wilmoth, PhD, Director, Population Division, United Nations
Organizers
Brown Bag Seminar: Could altruism end the HIV epidemic? Evidence from South Africa
Jacob Bor, ScD, is an associate professor in the departments of global health and epidemiology at Boston University School of Public Health. His research applies the analytical tools of economics and data science to the study of population health, and his research interests include HIV treatment and prevention in southern Africa, structural causes of health disparities in the U.S., and intersections of health, politics, and development. Prior to his graduate training at the Harvard T.H. Chan School of Public Health, Bor worked with an HIV-prevention NGO in Botswana, Lesotho, and South Africa. He is a faculty affiliate of Boston University’s Global Development Policy Center and senior research at the Health Economics and Epidemiology Research Office in South Africa.