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title
description
image
site name
author
updated
2025-12-25 05:16:54
raw text
Alex Renda Alex Renda Email: [email protected] Twitter: @alex_renda_ GitHub: @alexrenda LinkedIn: @alexrenda Google Scholar: Alex Renda About I graduated from MIT with a PhD in EECS in 2024. My research studied machine learning as an abstraction to help programmers develop complex systems, with the goal of making it easier to write programs that are hard or even impossible to write by hand. Here is a full CV . Education Ph.D. student in EECS, MIT CSAIL. 2018-2024. Thesis: Programming with Neural Surrogates of Programs . Worked on learning-based systems and efficient neural networks. Advised by Michael Carbin . S.M. in Electrical Engineering and Computer Science, MIT. 2020. Thesis: Comparing Rewinding and Fine-tuning in Neural Network Pruning . Worked on efficient neural networks. Advised by Michael Carbin . B.S. (Summa Cum Laude) in Computer Science with Honors, with a minor in Linguistics, Cornell University. 2018. Worked on pro...
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0 (no issues)
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index version
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12 - adriansampson.net, mlsys.org, zenodo.org, microarch.org, iclr.cc, iiswc.org, icml.cc, mlforsystems.org, learningsys.org, openreview.net
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15 - twitter.com, linkedin.com, youtube.com, youtu.be
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2025-12-25 05:16:54
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