Events

Conte Center@UCI: Seminar Series

Topic: Leveraging the Science of Early-Life Adversity to Promote Youth Mental Health
Speaker: Dylan G. Gee, PhD; Associate Professor of Psychology; Yale University
Host: Tallie Z. Baram, MD, PhD
In-Person Location: Gross Hall, 4th Floor, Thorpe Conference Room OR Zoom

PSAC Community Roundtable

Participate in the conversation! All members of the UCI community (students, faculty, staff, and residents) are invited to share your ideas on transforming public safety at UCI. Participate in small-group discussions on the topics of: Vision for Public Safety at UCI; Police Accountability; Mental Health and Alternatives to Policing; The Future of Policing on UCI Campus: A Conversation with UCI Police Department (students only).

UCI Stem Cell Research Center’s 2023 Featured Community Lecture

Topic: The Beginnings of Brains: What Stem Cells Can Tell Us About Human Development and Disease
Speaker: Ali H. Brivanlou, PhD is an international leader in the effort to understand the intricacies of human embryonic stem cells and to harness their therapeutic potential.

CNLM Colloquium Series: Kei Igarashi, Ph.D.

Topic: Circuit mechanisms of associative memory in health and Alzheimer’s disease
Mounting evidence shows that dopamine in the striatum is critically involved in reward-based reinforcement learning. However, it remains unclear how dopamine reward signals influence the entorhinal-hippocampal circuit, another brain network critical for learning and memory. I would like to discuss how we can unify the roles of two central, but previously independent, players in learning – dopamine and the entorhinal-hippocampal circuit – in future studies.

CHOC Research and CuresARS present the 2023 Mitochondrial ARS (Mt-aaRS) Genes Scientific Symposium

This event is designed to bring together researchers and physicians working on the mtARS family of mitochondrial diseases to share the latest developments from the lab and clinic and find common ground in the battle against these diverse disorders.

MSTP Distinguished Lecture: Collin Stultz, MD-PhD

Topic: Artificial Intelligence in Medicine: Opportunities, Obstacles, and Bottlenecks
For this lecture, we will have the privilege of hosting Dr. Collin Stultz, the Nina T. and Robert H. Rubin Professor in Medical Engineering and Science at MIT. He is a professor of Electrical Engineering and Computer Science at MIT and faculty member at Hardvard-MIT Division of Health Sciences and Technology. He works as a cardiologist at Massachusetts General Hospital.

Updates on the Legal Landscape in Post-Roe America and Impact of the Dobbs Decision

On June 24 2022, the U.S. Supreme Court’s ruling on Dobbs v. Jackson Women’s Health Organization reversed 50 years of Supreme Court precedent recognizing a constitutional right to abortion. This opened the door to enforcement of a wide range of state laws restricting abortion access and other evidence-based care. In many states, this decision has eliminated trainees’ access to required experiences in women’s health care and patients’ access to comprehensive reproductive healthcare. The current legal landscape will be reviewed, as well as considerations for health care providers and medical staff as they attempt to navigate this rapidly evolving post-Roe legal landscape. An overview of restrictive state laws’ impact on medical education and women’s health will also be provided.

Special Talk by Dr. Katherine Burdick

Topic: Behavioral and Neurobiological Predictors of Differential Trajectories and Heterogenous Outcomes in Bipolar Disorder
Speaker: Katherine Burdick, Ph.D.; Associate Professor of Psychiatry; Harvard Medical School
Where: Herklotz Conference Center

Missing Data and Multiple Imputation in STATA: Chuck Huber, PhD

In this talk I introduce different kinds of mechanisms that lead to missing data such as missing at random (MAR), missing completely at random (MCAR), and missing not at random (MNAR). I will also cover the use of two missing data techniques. First, I will demonstrate how to use Stata’s -mi- commands to impute missing data and fit models using the imputed datasets. Second, I will demonstrate Stata’s ability to implement FIML (Full information Maximum Likelihood) using the -sem- command.

TriNetX Workshop: A Global Patient Cohort Discovery Tool

This introductory workshop will cover the following topics: The concept of federated cohort discovery; Basic functionalities of TriNetX and common use scenarios ; A case study of using TriNetX to create a query to construct a patient cohort using UCI Health data, and then apply the same query to search across TriNetX’s global research network.