I am very interested in pursuing biostatistics PhD for this coming year (2020). I realize I have a low gpa score but have a strong research record/work experience to compensate. I would really appreciate honest feedback about my chances for graduate school this coming year given that I can get very strong LORs.
Undergrad Institution: Top 10 LAC
Major: Computer Science and Statistics
GPA: 3.56
Student: Domestic POC, female
Courses: Intro to Stat Modeling (A-), Intro Computer Science I (B+), Multivariable Calculus (A-), Intermediate Statistics (A-), Intro Computer Science II (B+), Linear Algebra (B-), Probability (B), Spatial Statistics (B+), Data Structures and Algorithms I (A-), Databases (A-), Theoretical Statistics (B+), Computer Systems (B+), Networks & Cryptography (A+), Data Structures and Algorithms II (B), Advanced Data Analysis (B+), Machine Learning (A-), Mobile Computing (B+).
GRE: 161Q, 161 V, 4.5 Writing
Research/Work Experience: Currently work as a Data Analyst at Columbia University Medical Center (a year), with having previously worked at IBM Watson Health as a Data Scientist (a year and a half). I have two research publications and have been working on multiple manuscripts and abstracts for conferences. I also participated in the Biostatistics Program for Underrepresented Students at Columbia University two summers in college.
Applying to:
QBS PhD Program at Dartmouth
Ohio State University
Drexel University
George Washington University
Rutgers
Boston University
UMASS
University of Pittsburg
UNC Chapel Hill
Virginia Commonwealth University
University of Maryland
Vanderbilt University
Emory University
Brown University
University of Pennsylvania