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Suditi Shyamsunder

Murray 1693 Scholar

Hometownsuditi shyamsunder

Winchester, VA (John Handley HS)

Major

Data Science

Why W&M

As a Virginia resident, I always knew William & Mary would be on my college list. It was actually the first school I visited. As just a sophomore, I stumbled onto the campus very terrified but also very excited. I was intrigued when I learned about the focus on a broad liberal arts education as well as the potential to hone in on what I am passionate about. I soon learned that William & Mary has the resources and opportunities of a larger school as well as the personalized attention and advising of a smaller one.

William & Mary was one of the few schools I truly felt I could turn into a new home. What ultimately swayed my decision was the 1693 Finalist Weekend when I had the opportunity to meet the other scholars and become acquainted with the campus. I was incredibly nervous but quickly put at ease by the kind people who I met and their words of encouragement. I could feel the close-knit nature and friendliness of the group of scholars and knew I wanted to be part of it too. 

That weekend, I found a new family and a new home. I enjoyed visiting the farmer’s market and the cow that often visited campus. I also enjoyed learning more about the school, and by the time I left, I was sold. I was sure that William & Mary was full of people I could connect with. It has diversity, beauty, and a wonderful academic reputation. I couldn’t ask for much more.

W&M Activities
  • Afsana (Bollywood Fusion dance troupe, Captain 2020-2021)
  • President of BLOT
  • VOX, Diversity and Inclusion Chair 
  • The Haven, Confidential Advocate
  • REACH research internship (2 summers)
    • During the summer of 2020, I began working on a research project with the VCU Pauley Heart Center. My mentor, Professor Yaorong Ge, guided me in my objective to discover if data science models could be built to predict which cancer patients are more likely to have a decline of >10% or drop below 50% in LVEF post chemotherapy based on a number of attributes. By the end of the summer, I was able to build 3 models with about an 80-90% prediction accuracy. 
    • During the summer of 2021, I continued this project and worked to build more accurate and robust models. I incorporated more data into the predictions and ended up building over 10 new models. This process allowed for a better understanding of the data and factors that may contribute to or correlate with decreased LVEF in patients post chemotherapy. 
  • South Asian Student Association (SASA)
  • Lackey Free Medical Clinic Volunteer
High School Activities
  • Captain of Debate Team
  • President/Founder of Bollywood Dance Club
  • Vice President of Interact Community Service Club
  • Founder of ThePrincessCodes.com
  • Namaste Shenandoah Hindu Sunday School Teacher
  • National Honor Society Member
  • Member of Holder’s Heroes advocating anti-bullying
  • Relay for Life committee member raising money for cancer research
Awards / Distinctions
  • Class Valedictorian
  • National AP Scholar
  • George Washington Leadership Book Award
  • Interact Most Active Member -- highest number of community service hours