Hey everyone,
Good luck to everyone applying this year! I'm applying to Neuro phd programs and want to get some feedback on my intended school application list to see if I should adjust it given my stats.
Undergrad: UPenn; Majors: Mathematics and Economics, Minor: Statistics GPA: 3.2
Graduated in 2018 and then worked for a year at a data analytics job and then joined an NHP systems neuroscience lab at nyu as a research tech.
Research Experience: 2 years of mathematics research in high school/summer after freshman year of college at Rose-Hulman Institute of Technology in cryptography and presented a poster during my senior year of high school at Intel ISEF and got 4th place in Mathematics award.
Siemens Semifinalist for another quantitative research project in high school as a second team member.
No research exp at Upenn.
1 year working as a research tech at Nyu full-time after college in a systems neuroscience NHP lab. Had many diff responsibilities and am second author on a NeurIPS paper under review, final results out late September.
LORs: 2 will be strong from PIs (Nyu and RHIT) and one will be from a Math Prof at UPenn i took two classes with.
Current List: NYU, UCSF, UC Berkeley, UCLA, University of Washington, Columbia (maybe), Stanford (maybe)
My application's greatest weakness is clearly my undergrad GPA and that I didn't get involved with research during undergrad. Given this I am going to reach out to specific labs doing NHP systems neuroscience and demonstrate my enthusiasm for their work and my computational background. Any advice/feedback positive or negative would be greatly appreciated!