Tutorial on distributed optimization & distributed machine learning, and security and privacy in distributed optimization/learning
March 12, 19 and 26, 2021
Tutorial on distributed optimization & distributed machine learning, and security and privacy in distributed optimization/learning by Nitin Vaidya, Department of Computer Science, Georgetown University (disc.georgetown.edu).
Interested attendees should register at this link: https://georgetown.zoom.us/meeting/register/tJ0sc-2grDwjEtfnLI0zPnN-GwkDvJdaOxXF preferably using an institutional email address for the registration.
March 17, 2:00pm
The Undergraduate Research and Fellowship advisers at Columbia University talk about leadership and the points one should highlight as a leader in their essay and/or resume.
Cosponsored by the Office of the Senior Vice President for Research
The relationship between medicine and engineering—between clinicians and engineers—is undergoing a transformation so radical that it now can be difficult to define precisely where engineering ends and medicine begins. Fueled by advances in data science and engineering’s innovations, this revolution is redefining what it means to practice medicine and the roles of physicians and patients. These changes are occurring at an ever-faster pace and I believe will be more disruptive to health care than many anticipate, forever altering the relationship between engineering and medicine, our institutional structures, and how and even where medicine is practiced. In this presentation, I will describe disruptive changes that already have occurred in other industries that should be regarded as a harbinger for the evolving future of medical practice. I will also explain why we must embrace this change and the opportunities it presents, so that we, in partnership, can shape and lead the future of our disciplines.
For more info visit: https://www.georgetown.edu/event/deans-seminar-series-featuring-ed-schlesinger/
Dean’s Seminar Series featuring Bruce Tromberg, PhD – “Bioengineering for COVID-19: Rapid Acceleration of Diagnostics (RADx) at Unprecedented Speed and Scale”
March 25th, 2021
Bruce J. Tromberg, Ph.D.
Director, National Institute of Biomedical Imaging and Bioengineering
National Institutes of Health
April 15, 4:00pm
The Undergraduate Research and Fellowship advisers at Columbia University discuss the differences between research and personal statements and help brainstorm potential topics of focus.
Multiple dates available in February, March and April 2021
The Barbara McClintock Life Sciences Lecture Series is among the most distinguished lecture series in the world. This lecture series brings together colleagues from the natural, physical, and computer sciences and engineering communities in a single forum.
Dean’s Seminar Series featuring E. Dale Abel, MD, PhD – “(Glucose Metabolism) a Common Soil Linking Diabetes Mellitus, Heart Failure and Cancer?”
May 6th, 2021 - 4-5pm
Heart failure is a disease of aging that continues to have a poor prognosis. Diabetes Mellitus amplifies the risk of heart failure. Heart failure and diabetes are accompanied by impaired mitochondrial oxidative capacity in the heart. Moreover, heart failure and diabetes are insulin resistant states. An important consequence of these systemic and organ-specific metabolic changes is a mismatch between glucose uptake and its mitochondrial metabolism that leads to the accumulation of glycolytic intermediates that activate signaling pathways that contribute to ventricular remodeling. Many of these perturbations in glycolytic metabolism are also seen in cancer. Whereas activation of these pathways lead to cellular proliferation in cancer, in the heart they promote myocardial remodeling. Metabolic modulation may play an important role in ameliorating the progression of heart failure.
For more info, visit: https://www.georgetown.edu/event/deans-seminar-series-featuring-e-dale-abel-md-phd/
Clinical & Translational Research Grand Rounds: Modeling Exertional Exhaustion in Gulf War Illness (GWI) and Chronic Fatigue Syndrome (ME/CFS)
May 7th, 2021 - 12-1pm
ABSTRACT: Dr. Baraniuk serves as Professor of Medicine at Georgetown University where, for over 20 years, his NIH (NIAID, NIEHS, NCRR, NINDS) and DOD supported research has focused primarily on careful phenotyping, mechanistic, biomarker, and therapeutic studies to improve the understanding and care of patients with complex, chronic, multi-symptom illnesses including Gulf War Illness and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. His research has leveraged his remarkable engagement with Veteran and Patient communities, cutting-edge and discipline-spanning molecular, analytical, neuroimaging, and informatics approaches, and complex clinical protocols that have depended on our expert clinical research unit staff. His work underscores the centrality of rigorous human subjects research to understand and improve patient care in complex clinical disorders. His talk will focus on exertional exhaustion, a defining, distressing, and debilitating characteristic of GWI and ME/CFS.
For more information, contact firstname.lastname@example.org or visit https://www.georgetown.edu/event/clinical-translational-research-grand-rounds-modeling-exertional-exhaustion-in-gulf-war-illness-gwi-and-chronic-fatigue-syndrome-me-cfs/
May 7th, 2021 - 1-2pm
Employing Social Media to Improve Mental Health: Harnessing the Potentials and Avoiding the Pitfalls
A popular form of web data — social media data — is being increasingly used to computationally learn about and infer the mental health states of individuals and populations. Despite being touted as a powerful means to shape interventions and impact mental health recovery, little do we understand about the theoretical, domain, and psychometric validity of this novel information source, or its underlying biases, when appropriated to augment conventionally gathered data, such as surveys and verbal self-reports. This talk presents a critical analytic perspective on the pitfalls of social media signals of mental health, especially when they are derived from “proxy” diagnostic indicators, often removed from the real-world context in which they are likely to be used. Then, to overcome these pitfalls, this talk presents results from two case studies, where computational algorithms to glean mental health insights from social media were developed in a context-sensitive and human-centered way, in collaboration with domain experts and stakeholders. The first of these case studies, a collaboration with a health provider, focuses on the individual-perspective, and reveals the ability and implications of using social media data of consented schizophrenia patients to forecast relapse and support clinical decision-making. Scaling up to populations, in collaboration with a federal organization and towards influencing public health policy, the second case study seeks to forecast nationwide rates of suicide fatalities using social media signals, in conjunction with health services data. The talk concludes with discussions of the path forward, emphasizing the need for a collaborative, multi-disciplinary research agenda while realizing the potential of web data in health — one that incorporates methodological rigor, ethics, and accountability, all at once.
May 10, 2021 - 10 AM EDT
Come hear from Georgetown students working on a host of exciting research projects this term. From the 2020 elections to forced migration to partnership work with the World Bank and Pact, MDI Scholars are tackling some of the most pressing policy issues of our time. We’re excited to share their work with you at this event.
Please RSVP here to receive the Zoom link for our event
Multiple dates available in December 2020, January, February and March 2021
The Science in Health Public Lecture Series are free events that attract a diverse audience including the public, secondary school pupils and professionals. The series aims to open up areas of concern in health care and present new research on health issues to the public.