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WiDS Datathon Data Science and Climate Change Webinar
In this panel discussion, we speak with experts in a wide range of domains and institutions in order to explore the multi-faceted challenges posed by climate change. Not only do we aim to glimpse at how climate change impacts sectors spanning healthcare, energy and environmental protection, we will hear from our panel how data science can help us understand and mitigate the effects of climate change. This webinar is appropriate for audiences of all backgrounds – no prior familiarity with data science is assumed.

Jan 28, 2022 08:00 AM in Pacific Time (US and Canada)

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Speakers

Catherine Gorle
Assistant Professor Civil & Environmental Engineering @Stanford University
Gorlé received her BSc (2002) and MSc (2005) degrees in Aerospace Engineering from the Delft University of Technology, and her PhD (2010) from the von Karman Institute for Fluid Dynamics in cooperation with the University of Antwerp. Gorle's research focuses on the development of predictive flow simulations to support the design of sustainable buildings and cities. Specific topics of interest are the coupling of large- and small-scale models and experiments to quantify uncertainties related to the variability of boundary conditions, the development of uncertainty quantification methods for low-fidelity models using high-fidelity data, and the use of field measurements to validate and improve computational predictions.
Mary Rice
Pulmonary Critical Care Physician and the Director of the BIDMC Institute for Lung Health
Dr. Mary Rice is a pulmonary critical care physician and the Director of the BIDMC Institute for Lung Health. Since 2018, she has served as co-chair of the BIDMC sustainability committee, emphasizing the need to address the carbon footprint of healthcare delivery. Her area of investigation focuses on the influence of environmental exposures, especially air pollution, on the respiratory health of children and adults. She served as Vice Chair (2015-2018) and Chair (2018-2021) of the American Thoracic Society's Environmental Health Policy Committee, through which she has been involved in initiatives to inform national air quality standards and to address climate change and wildland fire smoke.​ In 2020, Dr. Rice received the Jo Rae Wright Award for Outstanding Science from the American Thoracic Society, a national award recognizing tomorrow's leaders in science, and was selected as one of Medscape's 25 Rising Stars in Medicine.
Leo Anthony Celi (we/us)
Principal Research Scientist and Associate Professor @Massachusetts Institute of Technology and Harvard Medical School
As clinical research director and principal research scientist at the MIT Laboratory for Computational Physiology (LCP), and as a practicing intensive care unit (ICU) physician at the Beth Israel Deaconess Medical Center (BIDMC), Leo brings together clinicians and data scientists to support research using data routinely collected in the process of care. His group built and maintains the publicly-available Medical Information Mart for Intensive Care (MIMIC) database and the Philips-MIT eICU Collaborative Research Database, with more than 25,000 users from around the world. In addition, Leo is one of the course directors for HST.936 – global health informatics to improve quality of care, and HST.953 – collaborative data science in medicine, both at MIT.
Paul Mathew
Staff Scientist and Department Head of Whole Building Systems @Lawrence Berkeley National Laboratory
Paul Mathew is a Staff Scientist and Department Head of Whole Building Systems at Lawrence Berkeley National Laboratory (LBNL), where he conducts applied research and market transformation activities on energy use in buildings. His current work is focused on integrated building systems, energy epidemiology, benchmarking tools, and energy-related risk analysis for building valuation and resilience. Prior to joining LBNL, he worked at Enron Energy Services and the Center for Building Performance at Carnegie Mellon University. He has authored over 150 technical papers, articles and reports. He received a U.S. presidential award for federal energy efficiency. He has a Bachelor’s degree in Architecture, and a Ph.D. in Building Performance and Diagnostics from Carnegie Mellon University.
Nikola Milojevic
Content Committee Chair @Climate Change AI
Nikola Milojevic-Dupont is a fourth-year PhD candidate, working on sustainable urban planning, with a particular focus on applying machine learning techniques to support data-driven public policies in urban areas. He is affiliated with both the Mercator Research Institute for Global Commons and Climate Change (MCC) as well as the Technical University Berlin. Nikola is also a founding member of Climate Change AI (CCAI), an organization of volunteers aiming to facilitate impactful work at the intersection between machine learning and climate change. At CCAI, he is currently the Content Committee Chair, and the Community Lead for Buildings and Transportation.
Weiwei Pan
Research Associate @Harvard University IACS
Weiwei is a Research Associate at the Institute of Applied Computational Sciences at Harvard University, where she works on machine learning research in the Data to Actionable Knowledge (DtAK) lab. Weiwei's research is broadly focused on building models with guaranteed properties that align with task-specific desiderata, such as interpretability, risk-awareness, satisfaction of domain-specific constraints.
Sharada Kalanidhi
Data Scientist @Stanford University School of Medicine
Sharada is a Data Scientist at the Stanford Genome Technology Center (Department of Biochemistry), Stanford University School of Medicine. Her research interests are mathematical and statistical analysis of multi-omics data.