Daniel Jiang Email & Phone Number

New York, Ny, Us

New York City Metropolitan Area

Greater Boston

Created a real-time method to detect out-of-distribution inputs to vision models, advised by Prof Nick Roy (MIT).

Greater Seattle Area

Created new algorithms in the intersection of contextual bandits and matrix factorization

New York City Metropolitan Area

Benchmarking the limitations of large language models (LLMs) with read-write memory modules on long-context inputs and trained models to overcome them.

San Francisco Bay Area

Applied machine learning research and engineering on extreme classification models. Launched a new model for product search around the world. Advised by Prof Inderjit Dhillon (UT Austin) and Prof Sujay Sanghavi (UT Austin)

San Francisco Bay Area

San Francisco Bay Area

Research on a novel hypothesis testing algorithm that increases A/B testing statistical power by up to 2x, supervised by Prof Michael Jordan.

San Francisco Bay Area

Research on efficient weight utilization in biologically plausible neural networks, supervised by Prof Bruno Olshausen.

San Francisco Bay Area

San Francisco Bay Area

Research on deep learned image-text joint representations, supervised by Prof Gerald Friedland.

San Francisco Bay Area

Designed a novel image segmentation algorithm by refining CNN predictions with superpixeling

Washington Dc-Baltimore Area

Bachelor'S Degree W/ Honors, Computer Science

Master’S Degree, Computer Science