Staff Profile

Nazanin is currently a postdoctoral research fellow at Harvard Medical School and Mass General Hospital. Nazanin received her PhD in Industrial Engineering and Operations Research from the University of Massachusetts (UMass) Amherst. She also holds an MS in Electrical and Computer Engineering from UMass Amherst. Her research focuses on disease modeling, control, and optimization. During her Ph.D., she closely collaborated with the HIV division at the CDC where she developed a sequential decision-making model to control HIV at a national level using reinforcement learning algorithms.

While at the ITA, Dr. Khatami worked with Dr. Mohammad Jalali (MJ) at ITA to develop machine learning models to address opioid crisis in the US. She also worked with Dr. Krishna Reddy at the MGH Medical Practice Evaluation Center (MPEC) to develop a tuberculosis transmission module for people with HIV.

Selected Publications

Khatami, Seyedeh Nazanin; Gopalappa, Chaitra

Deep reinforcement learning framework for controlling infectious disease outbreaks in the context of multi-jurisdictions Journal Article

In: Math Biosci Eng, vol. 20, no. 8, pp. 14306–14326, 2023, ISSN: 1551-0018.

Abstract | Links | BibTeX

Khatami, Seyedeh N.; Gopalappa, Chaitra

A reinforcement learning model to inform optimal decision paths for HIV elimination. Journal Article

In: Mathematical biosciences and engineering : MBE, vol. 18, iss. 6, pp. 7666–7684, 2021, ISSN: 1551-0018.

Abstract | Links | BibTeX

Baker, Erin D.; Khatami, Seyedeh Nazanin

The levelized cost of carbon: a practical, if imperfect, method to compare CO2 abatement projects Journal Article

In: Climate Policy, vol. 19, no. 9, pp. 1132-1143, 2019.

Links | BibTeX