Alexander Ke

About

I'm Alex Ke, currently an analyst at Tiger Global in New York. At Stanford, I studied Statistics (MS) and Computer Science (BS Hons.) with research advised by Andrew Ng.

I spend most my time researching truths and putting them in practice: machine learning, quant trading, or public and private investing.

In my free time, I fish, shoot trap, and throw pottery.

Publications

(At least the ones I can talk about right now)

The evolution of machine learning infrastructure

Bessemer Venture Partners Atlas

CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation

Alexander Ke, William Ellsworth, Oishi Banerjee, Andrew Y. Ng, Pranav Rajpurkar

ACM-CHIL 2021

C2W2: Neural Radiance Fields (NeRF)

Alexander Ke, Sharon Zhou

Coursera: Build Better Generative Adversarial Networks

The Impact of Accelerator Cohort Composition on Startup Outcomes

Tyler Whittle, Alexander Ke, JungYun Han, Charles Eesley

Strategic Management Journal (R&R)

Patents

(At least the ones I can talk about right now)

Continuous synchronization of multiple radio devices to physical time

Alexander Ke, David A. Maluf, Amr Elnakeeb

US Patent 17/249,792

Teaching

TA, CS236G Generative Adversarial Networks
TA, CS224S Spoken Language Processing
TA, CS320 Value of Data and AI
Instructor, Advanced Ceramics (the pottery kind)

Projects

I partnered with K-Motion and Sports Science Solutions to predict injury using biomechanical data.

NHL Injury Prediction

I developed a system to encode support tickets as vectors to query duplicate issues on DevRev's CRM.

Support Ticket Deduplication

poshmark.com_category_Women(iPad Air).png

I developed an NLP pipeline improving item density for Poshmark's recommender system serving 3M users daily.

Poshmark Feed Personalization

I helped build Electify.us, enabling campaigns to reach more voters and voters more meaningful engagement with campaigns.