Lourenço Matos

Lourenço Matos

Researcher & Engineer

Isomorphic Labs

Biography

Solving all disease at Isomorphic Labs. Previously, I completed an MPhil in Advanced Computer Science with Distinction at the University of Cambridge, researching Geometric Deep Learning, Neural Algorithmic Reasoning, Mechanistic Interpretability, and the optimization of Machine Learning Systems. Prior to that, I graduated with a BSc in Computer Science and Engineering from the Technical University of Lisbon, ranking 1st out of 360+ students. During my undergraduate studies, I also researched classical satisfiability algorithms for gene regulatory networks.

Interests
  • AI for Science
  • Geometric Deep Learning
  • Neural Algorithmic Reasoning
  • Machine Learning Systems
Education
  • MPhil in Advanced Computer Science, 2024 - 2025

    University of Cambridge

  • BSc in Computer Science and Engineering, 2021 - 2024

    Instituto Superior Técnico - University of Lisbon

Experience

 
 
 
 
 
ML Engineer
September 2025 – Present
Solve all disease.
 
 
 
 
 
PyTorch Contributor
February 2024 – July 2024
Implementing lowerings for torch.compile, optimizing average pooling backwards 3D by 100%.
 
 
 
 
 
Student Researcher
February 2023 – July 2024
Developing software tools for computational biology – boolean logical modeling of biological regulatory networks.
 
 
 
 
 
Volunteer Instructor
July 2023 – July 2024
Instructor in online After School programs for young students in multiple scientific areas.
 
 
 
 
 
STT - Cybersecurity CTF Team Member
September 2022 – September 2023
Competing in cybersecurity Capture The Flag competitions.
 
 
 
 
 
Volunteer Student Mentor
October 2022 – July 2024
Student mentor of BSc and Erasmus MSc students.

Awards

  • St Edmunds College Cambridge Award (2025)
  • “Lacaixa” Foundation Postgraduate Fellow (2024-2025)
  • Linux Foundation Scholarship - PyTorch (2024)
  • University of Lisbon Best Student Award (2023-2024)
  • Santander Excellence Scholarship (2023-2024)
  • Academic Excellence Diploma (2022-2023)
  • Oeiras Scholarship (2022-2023)
  • University of Lisbon Best Student Award (2021-2022)
  • Academic Merit Diploma (2021-2022)
  • Oeiras Scholarship (2021-2022)
  • Secondary Education with Merit (2018-2021)
  • Secondary Education in Music with Merit (2008-2021)

Projects

Avalanche Prediction

Bayesian approach to predict the severity of an avalanche in a given region, and identification of the optimal location for dam placement and avalanche mitigation. Bayesian Optimization, Multi-fidelity, Sensitivity Analysis, Gaussian Processes, etc.

Trading Bot

A machine learning pipeline for prediction of asset value using a customly designed LSTM model. Developed efficient pipelines for API data extraction, web-scraping, cleaning, and preprocessing data from hundreds of sources. All-time-high accuracy of about 64% (insane I know, learned patterns didn’t hold for long though, if only I had invested all my money during those glorious weeks…). PyTorch, Tensorflow, Keras, Numpy, Pandas.

AI Psychologist Startup

Web application allowing for the creation and conversation with an AI-generated psychologist. LLMs, Speech Synthesis and Voice recognition to create a realistic therapist character and enable a fluid conversation with the user. Node.js, React, AWS.

Compiler

Coded a compiler for a made-up language supporting recursion, conditionals, loops, etc. From scratch (no libraries), in C++.

Filesystem

Coded a filesystem from scratch, in C, supporting concurrent access, multithreaded operations, and implemented a message broker on top of it.

Travel Map