I have been long fascinated by the research work of a few Professors at Stanford and Berkeley. The areas are ML Systems and AI Fairness. I would love them as my PhD advisors, but as you may know, getting into these two universities for CS PhD is not easy. I plan to apply the next admissions cycle.
I am wondering if I am even remotely close to Stanford/Berkeley PhD applicant profile and if not, I am looking for a practical piece of advice that could help me make further progress. I am determined to improve myself to ultimately conduct research alongside folks I deeply respect.
My profile (briefly):
Research Experience:
First-authored papers at applied AI/ML conferences and journals: ACM-BCB (~28% acceptance rate), JAMIA (~20%), AMIA Informatics Summit, etc. Around 65 citations so far
Have unpublished/arXiv manuscripts in PL and type theory, GNNs, algorithmic fairness, and point-set topology (some with citations)
4 more AI/NLP papers in progress (3 of them first-authored). Hope to result in publications in AI/NLP conferences/journals
Work Experience:
9-month long research internship at the well-known research institution. Researched NLP and GNNs in healthcare applications
Sequoia Capital-backed startup. Researched and implemented ambient intelligence and edge computing systems. I was a Research Engineer
Currently, I work as an ML Research Scientist in academia
Teaching Experience:
Sophomore: TA for Introduction to Computer Science (intro)
Junior: TA for Object-Oriented Programming with Java (mid-level)
Senior: TA for Computational Models (upper-level)
As a part of my job, I have given guest lectures and mentored several students
Also, co-authored MICS (regional teaching and CS conference) paper on making teaching CS more enjoyable!
Serving AI/CS Community and Other Community Contributions:
Reviewer or subreviewer at ICLR, LREC, Big Data, etc
Co-organizer and the Technology Chair of The 1st International Workshop on Ethics and Bias of Artificial Intelligence in Clinical Applications (EBAIC 2023)
Presented my work at workshops and webinars
I also have a YouTube channel, where I make videos about AI and Software Engineering
Education:
Liberal arts college, magna cum laude with near-perfect CS GPA. Math honor society inductee
Other:
Exceptional ability-based Green Card I-140 approval by the USCIS
Recipient of 2 Dean's Office summer research awards
Dean's List recipient for almost all semesters
Recipient of multiple highly competitive scholarships
Multiple-time finalist of national math Olympiad in my country of birth (TOP 6/7 was the highest rank)
IMO and iPhO nominee for the national team in my country of birth
Gold medal for academic excellence (middle/high school award, awarded to a handful of high school graduates every year)
Question
baffledfuturephd
I have been long fascinated by the research work of a few Professors at Stanford and Berkeley. The areas are ML Systems and AI Fairness. I would love them as my PhD advisors, but as you may know, getting into these two universities for CS PhD is not easy. I plan to apply the next admissions cycle.
I am wondering if I am even remotely close to Stanford/Berkeley PhD applicant profile and if not, I am looking for a practical piece of advice that could help me make further progress. I am determined to improve myself to ultimately conduct research alongside folks I deeply respect.
My profile (briefly):
Research Experience:
Work Experience:
Teaching Experience:
Serving AI/CS Community and Other Community Contributions:
Education:
Other:
-
Exceptional ability-based Green Card I-140 approval by the USCIS
-
Recipient of 2 Dean's Office summer research awards
-
Dean's List recipient for almost all semesters
-
Recipient of multiple highly competitive scholarships
-
Multiple-time finalist of national math Olympiad in my country of birth (TOP 6/7 was the highest rank)
-
IMO and iPhO nominee for the national team in my country of birth
-
Gold medal for academic excellence (middle/high school award, awarded to a handful of high school graduates every year)
Edited by baffledfuturephdSpecified what is MICS
Link to comment
Share on other sites
0 answers to this question
Recommended Posts
Create an account or sign in to comment
You need to be a member in order to leave a comment
Create an account
Sign up for a new account in our community. It's easy!
Register a new accountSign in
Already have an account? Sign in here.
Sign In Now