Data Science Institute

The Center for Computational Molecular Biology (CCMB) and Center for Tech Responsibility (CNTR) graduate eight Ph.D. students this year

Congratulations to CCMB and CNTR’s doctoral candidates who successfully defended their dissertations this year!

During academic year 2023-2024, eight doctoral students from DSI’s two research centers (the Center for Computation Molecular Biology and the Center for Technological Responsibility, Reimagination, and Redesign) successfully defended their dissertations and are graduating with their Ph.D.s. Their dissertations cover a wide range of topics in data science, from modeling health systems to computational biology to cryptology. We are incredibly proud of their work and contributions towards improving lives in a data-driven world. Congratulations!

 

Dilum Aluthge Headshot

Dilum Aluthge, Ph.D. (CCMB)

Advisor: Indra Neil Sarkar, Ph.D., MLIS, FACMI

“Physiologic Reserve and Modular Learning Health Systems” 

Dilum is returning to the Warren Alpert Medical School to complete his M.D. degree.  https://aluthge.com/  

 

Katie Brown Headshot

Katie Brown, Ph.D., MSN, RN (CCMB) 

Advisor: Elizabeth Chen, Ph.D., FACMI

“Piecing the Puzzle Together: Building a Bridge to Discovery Using Health Informatics Approaches for Autism Spectrum Disorder” 

Katie is starting as a Senior Research Analyst at Truveta, a company that uses real-world health data from the electronic health records with more than 30 health systems across the US as members with the mission of "Save Lives with Data." https://www.linkedin.com/in/katie-brown-rn/

 

Isaac Kim Headshot

Isaac Kim, Ph.D. (CCMB)

Advisor: Dr. Jeffrey Bailey, M.D., Ph.D.

“Computational and Molecular Characterization of Genomic Variation in Burkitt Lymphoma and Associated Infectious Agents”

Isaac is entering his fourth year of medical school at Brown and applying for residency in urologic surgery this year. https://twitter.com/isaackimjr

 

Lizzie Kumar Headshot

Lizzie Kumar, Ph.D. (CNTR)

Advisor: Suresh Venkatasubramanian, Ph.D.

“Explainability, fairness, and human evaluation in machine learning: From theory to policy and back”

Lizzie will start as a Postdoctoral researcher in the Health Policy Department at Stanford University this fall. 

 


Pegah Nokhiz Headshot

Pegah Nokhiz, Ph.D. (CNTR)  

Advisor: Suresh Venkatasubramanian, Ph.D.

“Modeling and Simulation of Artificial Societies to Study Precarity and Inequity”

Pegah will start as a Postdoctoral Fellow at Cornell this fall. https://sites.google.com/view/pnokhiz/home

 

Leah Namisa Rosenbloom, Ph.D. (CNTR)

Advisors: Anna Lysyanskaya M.S., Ph.D. and Seny Kamara M.S., Ph.D.

“Cryptography for Grassroots Organizing” 

Leah will start as a Postdoctoral Research Associate at Northeastern University this fall. https://namisa.art/

 

Lucy Qin, Ph.D. (CNTR) 

Advisor: Seny Kamara, M.S., Ph.D. 

“Cryptography in Support of Public Policy Use Cases”

Lucy was the first person to defend her dissertation from CNTR! She is currently a Postdoctoral Fellow at Georgetown University's Initiative for Technology and Society. https://lucyq.in/ 

 

Qing Qu Headshot

Qing Wu, Ph.D (CCMB); 

Advisors: Eric M. Morrow M.D., Ph.D., and Ece (Gamsiz) Uzun M.S., Ph.D., FAMIA.

“Machine Learning Method to Identify and Subgroup Individuals with Autism using Genetic and Phenotypic Data” 

Qing is currently a senior scientist at AstraZeneca.