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General Information
Full Name | Alejandro Escontrela |
Date of Birth | November 1st, 1997 |
Languages | English, Spanish, German |
Education
- 2021 - Present
PhD
University of California, Berkeley
- Pursuing PhD in Artificial Intelligence and Robotics
- Advised by Pieter Abbeel
- Performing reinforcement learning, generative modeling, and robotics research at Berkeley Artificial Intelligence Research
- 2018 - 2021
Bachelor's degree
Georgia Institute of Technology
- Majored in Aerospace Engineering, with a minor in Computer Science
- Undergraduate research advised by Frank Dellaert
Experience
- Aug 2020 - Present
Student Researcher
Google Brain
- Part-time researcher at the Google Brain Robotics team. Studying locomotion, world models, and generative modeling.
- Advised by Atil Iscen and Jie Tan
- May 2020 - Aug 2020
Research/Software Engineering Intern
Google Brain
- Worked with the Google Brain Robotics team to develop locomotion policies that allow legged robots to operate in unstructured, rugged terrains. This work has resulted in several publications listed in the publications tab.
- Aug 2019 - Aug 2021
Undergraduate Researcher: Borglab @ Georgia Tech
Georgia Institute of Technology
- May 2019 - Aug 2019
Software Engineering Intern
Google Cloud
- Helped develop Google Cloud DapperMC, a probabilistic pro-gramming library tailored to modeling Remote Procedure Calls (RPC). Google engineers now use DapperMC to obtain a statistical understanding of datacenter performance, detect anomalous machines, and benchmark the effects of software updates on RPC latency.
- May 2018 - Aug 2018
Software Engineering Intern
Northrop Grumman
- Work performed under a security clearance. Worked on a network that provides joint forces with a capability to report, analyze, and disseminate warning information to accelerate the serviceperson’s response to Chemical, Biological, Radiological and Nuclear (CBRN) attack. Reduced the time from incident observation to warning to less than two minutes
Open Source Projects
- 2018
Numpy-CNN
- A numpy-only implementation of a Convolutional Neural Network, from the ground up.
- 2021
AMP for Hardware
- Codebase for the Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions project.
Honors and Awards
- 2022
- IROS 2022 Best Paper Award Finalist (11 nominations from >1700 papers)
- RSS 2022 Best Systems Paper Award
- 2021
- MIT Presidential Fellowship
- UC Berkeley Chancellor's Fellowship
- National Science Foundation Graduate Research Fellowship
- MIT Lemelson Fellowship
- Stanford School of Engineering Fellowship
- 2020
- Lemelson MIT Student Prize Competition Finalists
- 2019
- Hispanic Scholarship Fund Award
- Google NYC Accesibility Hackation (1st place)
- 2017
- Walt Disney World Design and Engineering Award
- UCF Pegasus Scholarship