Are you aiming to secure a spot in a top-tier STEM master's program but unsure how to navigate the competitive admissions landscape? Join me, Serena, for an insightful session on crafting a standout application strategy tailored for elite STEM programs in Data Science, Statistics, Computational Biology, and Bioinformatics. As a recent admit to Harvard's SM in Computational Biology and Quantitative Genetics, and with offers from other prestigious institutions like Columbia, Yale, and Cornell, I bring firsthand experience and a proven track record in breaking into Ivy-level graduate programs. My background in data science and biomedicine, coupled with extensive research and industry experience, equips me to guide you through the nuances of school selection and application strategy. Don't miss this opportunity to gain valuable insights and enhance your application. Space is limited, so RSVP now to secure your spot!
School Selection
Application Strategy
General Exploration
Harvard Masters Admit | Ivy Grad Coach | Data & Biomedicine Specialist
As someone who was recently admitted to Harvard’s SM in Computational Biology and Quantitative Genetics, I know firsthand what it takes to stand out in Ivy-level graduate admissions. I also received offers from other top-tier programs including Columbia (MS in Public Health Data Science), Yale (MS in Computational Biology and Biomedical Informatics), Cornell (MS in Computational Biology), Dartmouth (MS in Health Data Science), and Brown (MS in Biostatistics). I graduated from Boston University with a BS in Data Science and a minor in Statistics, earned multiple academic and research awards, and worked on high-impact projects in industry internships and in academic labs focused on machine learning, public health, and computational biology. I specialize in helping students from non-Ivy backgrounds break into elite graduate programs through compelling personal statements, strong academic narratives, and a sharp application strategy tailored to data-driven and biomedical fields.
Saturday, Sep 27
from 2:30 PM – 3:15 PM UTC
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