Hometown: Brooklyn, NY
Languages Spoken: English, Urdu
Degree and Institution: Bachelor in Computer Science and Statistics (Amherst College)
Previous Work Experience:
- Columbia University Medical Center (Data Analyst/Consultant)
- International Business Machines (IBM) Watson Heath for Oncology (Data Scientist)
- The Trade Desk (Data Analyst intern)
Career Track: Academia/Industry
Favorite Algorithm and/or gene: Support Vector Machine (SVM)
Technical Expertise: R, Python, SQL, wet lab biology/genetics experience
- Gannon, WD., Lederer, DJ., Biscotti, M., Javaid, A., Patel, NM., Brodie, D., Bacchetta, M. and Baldwin, MR. (2018). “Outcomes and Mortality Prediction Model of Critically Ill Adults With Acute Respiratory Failure and Interstitial Lung Disease.” Chest, 153(6), 1387-1395. doi:10.1016/j.chest.2018.01.006 <https://journal.chestnet.org/article/S0012-3692(18)30078-3/abstract>. • Baldwin, MR., Sell, JL., Heyden, N., Javaid, A., Berlin, DA., Gonzalez, WC., Bach, PB., Maurer, MS., Lovasi, GS. and Lederer, DJ. “Race, Ethnicity, Health Insurance, and Mortality in Older Survivors of Critical Illness.” Critical Care Medicine (2017) <https://journals.lww.com/ccmjournal/Abstract/2017/06000/Race,_Ethnicity,_Health_Insurance,_and_Mortality.34.aspx>. • Javaid, A., Wang, X. and Horton, NJ. “Using a "Study of Studies" to help statistics students assess research findings.” CHANCE: Using Data to Advance Science, Education, and Society (2017) <https://chance.amstat.org/2017/11/assess-research-findings/>.
My favorite scientist: Julia Silge
Why QBS?. I chose QBS due to its interdisciplinary coursework and training that additionally provides the opportunity to hone in on biostatistics, epidemiology, and bioinformatics.
QBS MS Experience
Favorite QBS Class:
Life at Dartmouth:
--When I am not in lab/school I like to explore the outdoors and drink chai.