Bio: Aishani works on CRISPR-Cas13-based diagnostic testing for antibiotic susceptibility in N. gonorrhoeae and within-host modeling for SARS-CoV-2 viral kinetics.
Aditya works on understanding mechanisms of drug resistance in N. gonorrhoeae.
Maddy is a second-year PhD student in the Population Health Sciences program in Infectious Disease Epidemiology, and a fourth-year student in the MD-PhD program. She is interested in genomic epidemiology and mathematical modelling, especially of Group A Streptococcus, and also in the impact of climate change on infectious diseases
Tse Yang builds simulation models of complex systems to better understand infectious disease dynamics and their interplay across individual and population levels.
Rebecca’s work focuses on investigating the genetic contributors to phenotypes including growth patterns and antibiotic resistance in Neisseria gonorrhoeae.
Rachel is an infectious diseases fellow at Mass General Brigham. She is studying the development of antimicrobial resistance in the setting of increasingly widespread use of doxycycline post-exposure prophylaxis (doxy-PEP).
Aditi’s work focuses on the antigenic diversity of Neisseria gonorrhoeae and its interaction with host immunity.
Jason analyzes data from Siemens medical devices with the goal of developing public health strategies.
Mui focuses on defining trends in antibiotic use and resistance, modeling antibiotic use and resistance, using data from the US Veterans Health Administration and from the Alberta Health Services in Canada.
Kirstin models genomic surveillance strategies for the control of infectious diseases using a combination of simulation-based and statistical methods.
Jonathan is a resident physician at Massachusetts General Hospital. He is interested in the action of cell wall inhibitors in N. gonorrhoeae.
QinQin studies how the evolution and spread of N. gonorrhoeae is shaped by adaptive immunity and also investigates the equitability of wastewater surveillance.
Sam’s current research focuses on using genetic approaches to understand and exploit fitness costs associated with the acquisition of antimicrobial resistance in Neisseria and Streptococcus.