Azka Javaid

Hometown: Brooklyn, NY

Languages Spoken: English, Urdu

Degree and Institution:  Bachelor in Computer Science and Statistics (Amherst College)

Email: azkajavaid17@gmail.com

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)

Thesis Advisor and Lab: Dr. Robert Frost (Frost Lab)

Career Track: Academia/Industry

Favorite Algorithm and/or gene:  Support Vector Machine (SVM)

I have technical expertise in: Professionally, I am interested in developing statistical methods to better understand cell-cell interactions in the tumor microenvironment using primarily single-cell data. This work will allow me to leverage my background in statistics and computer science as well as prior coursework in genetics and molecular biology.

Other professional accomplishments of note: : I really enjoy patenting and currently have 3 patents assigned focused on developing technologies enabling increased productivity ("Dynamic prioritization of action items") and enhancing engagement level during communication ("Determining engagement level of an individual during communication") and constructing intelligent data analytical systems incorporating new and continuously updating, model framework changes ("Intelligent framework updater to incorporate framework changes into data analysis models").

Publications:

  • 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

Recreational Interests: I enjoy reading non-fiction and watching plays.

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

QBS Electives

Capstone

Favorite QBS Class:

Life at Dartmouth:

--When I am not in lab/school I like to explore the outdoors and drink chai.