Juan José Garau Luis

About Juan José Garau Luis

My name is Juan José (Juanjo) and I\'m a Research Scientist at InstaDeep. I am passionate about the intersection between system design in Machine Learning and the challenges of real-world problems. My current research threads focus on Automated Reinforcement Learning (AutoRL) and Large Language Models for biology applications. In 2023, I completed my PhD at MIT. I worked on improving the robustness of RL-based autonomous systems in real-world environments. My contributions range from automating the design of RL algorithms for multiple real-world-oriented goals to proposing specific models to tackle key practical applications in resource management for satellite communications, molecular design, and traffic signal control.In 2017, under the CFIS program, I received two BSc degrees in Telecommunications Engineering and Industrial Engineering from UPC, in Spain. I carried out my undergraduate Thesis as a visiting student in the System Architecture Lab at MIT; I designed a large-scale Internet of Things network by optimizing its architecture leveraging systems engineering. I previously worked at Arcvi and at Barcelona Supercomputing Center. In 2019, I was awarded a La Caixa fellowship with full funding for my PhD studies. In 2020, I received my Master\'s degree in Aerospace Engineering from MIT. My Master\'s Thesis focused on the study of autonomous resource management systems for communication satellites and the use of various AI algorithms to support their operation. Later that year, I interned at Novartis AI Innovation Lab. In 2021, I interned at Google Brain, where I remained as a Student Researcher throughout the rest of the year and part of 2022.

Experience

1. Applied Scientist

   Amazon

   Sep 2024 — Present · NY, US

Education

• Massachusetts Institute of Technology

  Visiting Research Student, Aerospace, Aeronautical and Astronautical Engineering

  2017 — 2017

• Universitat Politècnica de Catalunya

  Bachelor of Science (BSc), Industrial Engineering

  2012 — 2017

• Massachusetts Institute of Technology

  Doctor of Philosophy - PhD, Autonomous Systems

  2020 — 2023

• CFIS-UPC

  Double BSc Excellence Program, Telecommunications Engineering and Industrial Engineering

  2012 — 2017

• Massachusetts Institute of Technology

  Master of Science - MS, Aerospace, Aeronautical and Astronautical Engineering

  2018 — 2020

• UPC - ETSETB TelecomBCN

  Bachelor of Science (BSc), Telecommunications Engineering

  2012 — 2017

Skills

• Inglés
• Big Data Analytics
• Java
• Minitab
• Machine Learning
• Ansys
• Python
• Latex
• Signal Processing
• Quartus
• Pspice
• C++
• Matlab
• C
• Programming
• Solidworks
• R