Scholar
Sharan Sahu
Google Scholar ID: Kb_r8eoAAAAJ
Statistics and Machine Learning PhD Student, Cornell University
Citations & Impact
Citations
0
H-index
0
i10-index
0
Publications
2
Co-authors
1
list available
Publications
Resume (English only)
Research Experience
- Had early research internships and experiences at UC Berkeley, Stanford, and USC.
Education
- Currently a second-year PhD student in Statistics and Machine Learning at Cornell University, supported by a Cornell University Fellowship; undergraduate from UC Berkeley majoring in Computer Science, advised by Iain Carmichael and Ryan Tibshirani on statistics and machine learning problems in computational precision medicine and statistical learning theory.
Background
- Broadly interested in statistical machine learning and using statistical/machine learning tools to improve decision-making, bridge the gap between machine learning methodology and practice by making these methods more reliable, human-compatible, statistically rigorous, and deployable.
Miscellany
- Shared journey from USAMO math to quant trading, ML PhD, and AI startups; discussed preparing for quant trading interviews, landing research roles as an undergrad, and taking a tech idea from zero to product. Also shared about the PhD application process, including writing a clear and impactful statement of purpose, building meaningful mentorships that led to support.
