- I will be presenting our work on achieving workload equity in physicians’ schedules at the 2024 INFORMS Annual Meeting, held October 20-23 in Seattle, WA. The presentation will take place during the “Decision-Making in Healthcare Systems” session, co-listed with the INFORMS Diversity, Equity, and Inclusion (DEI) Committee.
- I started as a Tenure-Track Assistant Professor in the Department of Information Systems, within the College of Engineering and Information Technology at UMBC, in Fall 2024.
- Our work, “Artificial intelligence and machine learning: Definition of terms and current concepts in critical care research,” has been published in Journal of Critical Care. https://doi.org/10.1016/j.jcrc.2024.154792
- A brief talk on our paper, Equitable Anesthesiologist Scheduling under Demand Uncertainty Using Multi-Objective Programming, has been uploaded to POMS YouTube channel.
- I will be delivering the Grand Rounds presentation, entitled Equitable Anesthesiologist Scheduling under Demand Uncertainty Using Multi-Objective Programming, at University Hospital 6th floor Conference room S6-233, on Monday, November 20, 2023.
- I will be chairing the session on “WA21. Data-driven Decision Making in Healthcare II,” at CC-North 128B on Wednesday, October 18, 8:00 AM – 9:15 AM MST at 2023 INFORMS Annual Meeting in Phoenix, Arizona, and
I will present my work, Equitable Anesthesiologist Scheduling under Demand Uncertainty Using Multi-Objective Programming, in this session. - I will be teaching the workshop series on “Data Analytics with Python” at UTSA Alvarez College of Business from 9/16/2023 - 10/7/2023.
- Our work, “Equitable Anesthesiologist Scheduling under Demand Uncertainty Using Multi-Objective Programming,” has been published in Production and Operations Management. https://doi.org/10.1111/poms.14058
