My undergrad degree is in Public Health with a minor in Sociology from Baylor university in 2015 where I had a bit of a rough start mathematically. I was originally a MechE major where I failed out for failing Calculus-based physics 3 times in a row and getting a D+ in Calc II in 2017 and an F in 2018. I was in a bad place at the time and took a lot of time for self discovery for different majors. To graduate on time I ended up taking up Public Health as a major instead of statistics since my advisor had concerns of my completion date due to my previous math courses. It wasn't till 2020 that I started turning my life around I had a great mentor in the sociology department who I did my first independent research and ended up getting a minor taking courses like social statistics. From there I decided to go to grad school and gain some experience to see what I would like and not like to do.
I decided, based on my GPA (3.21 overall, below 2.5 quantitatively) I applied to MPH in Epi programs with the hope I would get accepted somewhere. I ultimately ended up going to Emory University. My last semester at Baylor, I did an internship at my local health departments with their epidemiologist to see what its like working in that field. I enjoyed the people but I realized very quickly that I would reach the ceiling even with an MPH in Epi. To be able to accurately answer peoples, which I would enjoy. That ended up me retaking Calc II that summer at Baylor and took Linear Algebra at a Community College which I got an A on both.
During my MPH I tried to internally transfer to the BIOS MPH program since I realized I wasn't going to get the sufficient statistical training but was rejected since I was taking Calc III that same semester and it was a pre-req for admission. During these two years I focused solely on programming courses in everything they offered in R, SAS, GIS, Python, and SQL. I tried to get as much experience as I could and find as many good mentors since I was set in getting a PhD in BIOS. I also took undergraduate courses in Genetics, ODE, and Foundations of Mathematics during this time.
Currently I am completing a postbacc in CS at a university online. Since Real Analysis and Numerical Analysis aren't offered at a community I want to take this opportunity to take it here. I've only completed Intro to CS I and Discrete Math but I do plan to take advance courses in ML, AI, DL, and Computational Biology.
Undergrad Institution: Baylor University
Major(s): Public Health
Minor(s): Sociology
GPA: 3.21/4.00
Type of Student: Hispanic Male
Graduate Institution: Emory University
Major(s): Epidemiology
Minor(s): N/A
GPA: 3.71/4.00
Undergrad Institution: Online University
Major(s): Computer Science
Minor(s): N/A
GPA: 3.8/4.00
Programs Applying: PhD/MS in Biostats
Research Experience:
Undergrad Sociology independent research (not published)
Graduate thesis with HAPIN in the Environmental Health department (not published)
Awards/Honors/Recognitions: N/A
Pertinent Activities or Jobs:
1. Worked as a data analyst with the CDC
2. Interned as an Epidemiologist with local health department
3. Did a summer internship with a group in the biostats department
Letters of Recommendation:
Sociology Professor(PhD) - Knows me very well, took intro to sociology and independent research with him, strong rec
Biostats Professor(MS) - Did my summer internship with him, took BIOS Methods II with him, and TA'd for his BIOS Method I course, decent rec
CS Professor (PhD) - Worked in the BIOS department and took all his programming courses, strong rec
Math Professor(PhD) - Took his Foundation of Mathematics course, small class so we got to know each other, decent rec
Math/Statistics Courses: Calculus I(W, B), Calculus II(W, D+, F, A), Calculus III(A), Ordinary Differential Equation (A), Linear Algebra (A), Foundations of Mathematics (A), Discrete Math (B), Statistical Methods I-II(A-)
Programming Courses: Statistical Programming, Intro to R, Intro to GIS, Advanced GIS, SAS Programming, Python Programming, Database in SQL, C++ programming, Java programming.
Planning to take: Real Analysis I-II, Numerical Analysis, Computational Biology, Probability Theory
Any Miscellaneous Points that Might Help: Took multiple courses in and got practical experience in SPSS, R, SAS, Python, GIS and SQL. Also took courses in C, C++, Java, Python, and C#. I've also taken General Biology, Chemistry, and Genetics in case some schools are big into bioinformatics or statistical genetics.
Applying to Where:
UW- PhD BIOS, maybe MS
Harvard - ScM 60 BIOS
John Hopkins- PhD BIOS
UNC - PhD BIOS
Brown - PhD BIOS
UPenn - PhD BIOS
UPitt - PhD BIOS