Division of Biology and Medicine
Program in Biology
Biology at Brown
A component of Brown University's Division of Biology and Medicine, the Program in Biology comprises six basic science departments offering undergraduate and graduate study in the life sciences.
Biology at Brown
A component of Brown University's Division of Biology and Medicine, the Program in Biology comprises six basic science departments offering undergraduate and graduate study in the life sciences.
Jessica Meir '99 named one of Time 100 Most Influential People
NASA astronaut and Brown University alumna Jessica Meir was named one of Time Magazine's 100 Influential People of 2020 following her 205-day flight aboard the International Space Station. Meir traveled nearly 87 million miles and participated in the first three all-female spacewalks.
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The Program in Biology combines world-renowned educators with state-of-the-art facilities to provide rigorous scholarship that transcends fields of study.
Brown's research network features advanced academic institutes, centers, and facilities that make our world-renowned research possible.
Brown University's many disciplines and initiatives focus on confronting real-world challenges and solving complex problems through translational research.
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Diversity
The Program in Biology shares in Brown's commitment to cultivating a learning and teaching community that embodies the social and intellectual diversity of the world.
Upcoming Events
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September 25, 2020
Speaker
Sarbattama “Rimi” Sen, MD
Assistant Professor of Pediatrics
Harvard Medical School
Topic
“ Maternal Obesity and Lactational Programming of Infant Health”
Objectives
- Review the intergenerational nature of the obesity epidemic
- Discuss what is currently known about maternal BMI and breastmilk composition
- Examine how these differences in breastmilk composition may impact infant health outcomes
- Evaluate potential interventions
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“The processing of shape-motion associations in inferior temporal cortex”
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“The Problem with the Phrase “Women and Minorities”: Intersectionality, An Indispensable Critical Theoretical Framework for Behavioral and Social Health Science Research”
Friday, September 25, 2020
12:00 PM – 12:55 PM
Zoom ID: 945 5755 6126Historically rooted in Black feminist activism, intersectionality is a critical theoretical framework that posits that power and social inequity are differently structured, and vary based on people’s multiple and intersecting demographic positions (e.g., race, ethnicity, gender, gender and sexual minority status, socioeconomic status). Intersectionality has made impressive inroads within the behavioral and social health sciences (BSHS) in recent years. It enhances BSHS research by challenging “single-axis” assumptions such as that connoted by the phrase “women and minorities,” and centering the experiences and needs of people marginalized by intersectional discrimination. This presentation will: (1) provide an overview of intersectionality, its history, and core tenets; (2) describe how intersectionality challenges conventional assumptions about groups of people and social issues; (3) highlight applications of intersectionality to NIH-funded health research with U.S. Black men; and (4) discuss why critical perspectives such as intersectionality are indispensable for BSGS researchers committed to social justice work.
Lisa Bowleg, Ph.D. is Professor of Applied Social Psychology in the Department of Psychological and Brain Sciences at The George Washington University (GW), Director of the Social and Behavioral Sciences Core of the DC-Center for AIDS Research, and the Founding Director of the Intersectionality Training Institute at GW. She is a leading scholar of the application of intersectionality to social and behavioral science research, as well as research focused on HIV prevention and sexuality in Black communities.
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Join Virtual Event Code: Zoom link will be sent upon RSVP.
Please join us on Wednesday, September 30th for a presentation by Intus Care: “Machine Learning, Social Determinants, and Electronic Health Record Data to Reduce Preventable Long Term Care Utilization.” This presentation will outline our methodology in applying machine learning algorithms to the electronic health records of patients on a managed Medicare-Medicaid health plan. We used our algorithms to risk score participants and predict costs associated with potentially preventable hospitalizations (PPHs). Our processes included the use of machine learning for cost forecasting and risk grouping, clinical analyses, and health record integration.
*Location: Zoom meeting
*Time: Wed. September 30th @ 1:00-2:00 EST
***RSVP through the Eventbrite link, and we will send you the calendar invite***
Presenters:
Robbie Felton is a senior undergraduate public health/pre-med concentrator from Ann Arbor, Michigan. During his time at Brown, he served as the president of the class of 2021 (3 years) as well as a member of the varsity football team (2 years). His research focuses on the use of digital health technology for innovation in care delivery and coordination with a focus on geriatric care.
Will Mims is a senior undergraduate behavioral decision sciences and economics concentrator from Asheville, North Carolina. During his time at Brown, Will played on the varsity soccer team (4 years) and served the community through athletic and academic mentorship in local schools. His research focuses on implementing preventative healthcare interventions to older adults, improving care outcomes, and optimizing resources.
Isabella Henderson is a senior at Brown University from Boston, Massachusetts studying Health and Human Biology along the pre-med track. Isabella has done preliminary research on community health in four continents and aims to continue studying cultural competency and the social effects of health. Her current research examines disease burden and disparities amongst at-risk geriatric populations.
Contact us at [email protected] or [email protected] with any questions. We hope to see you there!
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