Link Search Menu Expand Document

profile photo

Andre Ye

Undergraduate, UW.


👋 Hey there! I’m Andre. I am majoring in philosophy, comparative history of ideas, and computer science. My research interests in deep learning include vision understanding, curriculum learning, and human-AI interaction; in philosophy: virtual labor and the phenomenology of digital spaces, with broader passions for critical theory, social epistemology, (post-)structuralism, and (post-)Marxism. Currently, I am a research assistant in the Social Futures Lab. I also TA for an English courses at the UW and am a food server at McDonald’s. My email is andreye at uw dot edu.


Updates

9/15/22 My second book, Deep Learning for Tabular Data, hit #1 in new releases for Information Theory and #4 in new releases for Artificial Intelligence on Amazon. Preorder today!
9/3/22 My book co-author Andy Wang and I have submitted the final manuscript for Deep Learning for Tabular Data! It is available for preorder on Amazon, Barnes and Noble, and other booksellers. Keep posted.
8/7/2022 Interactive Intelligence has received $24k of funding from the UW STF fund!
8/2/2022 My book co-author Alec Bunn and I are starting work on my upcoming third book, [Artificial Intelligence: An Accessible Approach]. The book is aimed at a general audience and attempts to help address the increasingly problematic AI literacy gap by providing knowledge of the ideas, structures, and algorithms which power digital and physical applications everywhere.
7/30/2022 My book co-author Andy Wang and I have finished all twelve chapters for my upcoming second book, Deep Learning for Tabular Data. We anticipate to finish our second reviews and to hand off the manuscript to the production team by mid-September.
5/28/2022 I will be leaving the Najafian Lab at the University of Washington after one year and three months! Thank you to Dr. Behzad Najafian and David Smerkous for an awesome experience.
4/18/2022 My article “The Wartime State and the Cigarette: Darkness and Temporality in Pale Horse, Pale RIder” has been published in The Explicator!
4/13/2022 I have completed technical review of the Apress book Deep Learning Model Optimization with Neural Network Intelligence. Keep your eye out for its release soon!
4/10/2022 I have completed technical review of the Packt book Building Data Science Solutions with Anaconda. Keep your eye out for its release soon!
4/4/2022 I am grateful to announce that my essay “The Wartime State and the Cigarette: Darkness and Temporality in Pale Horse, Pale Rider”, an analysis of the role of the cigarette as representing the metaphysics of the wartime state, has been accepted for publication in The Explicator.
3/26/2022 I will be TAing for CSE 163 (Intermediate Data Programming) with Prof. Hunter Schafer this spring quarter.
3/17/2022 I’m excited to work with Deepgram as a research intern this summer!
3/1/2022 Work on Deep Learning for Tabular Data is moving quickly! First drafts for Chapter 2 “Data Preparation and Engineering” and Chapter 4 “Applying Convolutional Structures to Tabular Data” have been completed. This marks the completion of 1/3 of the total 9 chapters.
2/9/2022 I will be serving as a technical reviewer for the upcoming Springer/Apress book Deep Learning Model Optimization with Neural Network Intelligence.
2/6/2022 My book co-author Andy Wang and I have finished the first draft of Chapter 1 for my upcoming second book, Deep Learning for Tabular Data. It clocked at 125 pages, 29k words, 154k characters, and has taken almost three months to complete. Here’s to the remaining eight!
2/5/2022 My personal site is now updated to the Just the Docs theme with slight palette adjustments from the original Academic Pages theme. The new theme has more specialized styling and organization tools. This site will continue to be updated with more content and information. It’s also migrated from andre-ye.ml to andre-ye.github.io, and my uni notes project (which has occupied andre-ye.github.io until now) has been moved to andre-ye.github.io/uni.