About

đź’ˇ Passionate about tackling complex challenges through Deep Learning and AI, I'm currently pursuing a research master's degree in Computer Science at Concordia University, while also completing a dual degree in Aerospace Engineering with a specialization in Telecommunications at IPSA Toulouse. My expertise bridges Aerospace Engineering and Artificial Intelligence, allowing me to innovate at the intersection of these exciting fields.

🎯 I thrive on challenges and am motivated by the endless possibilities in AI and space exploration, two domains I strongly believe will shape the future of humanity. With a proactive, inquisitive mindset, I bring perseverance, diligence, and teamwork to everything I do, from research projects to professional experiences.

🚀 Self-taught and deeply driven, my passion for Aerospace Engineering and AI continues to fuel my learning and my desire to contribute to cutting-edge advancements in these fields.

My Goals

1. Leverage data-driven insights to pioneer cutting-edge solutions in AI.

2. Collaborate with forward-thinking teams to push the boundaries of innovation.

3. Embrace challenging roles that foster continuous learning, adaptability, and personal growth.

Interests

Machine Learning

Deep Learning Dynamics

Signal Processing

Physics

Aerospace Telecommunication (GNSS)

Contact

Office Address

Concordia University

1550 De Maisonneuve Blvd W

Montréal

QC H3G 1M8, Canada

Social Profiles

Email

damien.martins.gomes@gmail.com

Education

Concordia University

MCompSc: Master of Research in Optimization and Machine Learning

September 2023 - April 2025 | CGPA: 4.1/4.3

Thesis awarded with “Outstanding” distinction

Relevant Coursework:
Student Athlete:
  • Flanker for the Concordia Men's Rugby Team for 3 years
  • IPSA Toulouse, France

    MSc in Aerospace Engineering: Specialized in Embedded Systems and Signal Processing

    September 2019 - April 2025 | CGPA: 3.8/4

    Obtained with “outstanding” distinction

    Relevant Coursework:
    • (Non) Linear Optimization, Numerical Linear Algebra, Probability and Statistics, Machine Learning
    • Distributed Intelligent Systems, Guided Propagation and Hyperfrequencies
    • Advanced Applications of FPGA Circuits, On-board Networks
    • Real-Time Information Systems, Guided Propagation and Microwaves
    Ranking:
    • First Year: 3/140 - Second Year: 4/124 - Third Year: 3/56 - Fourth Year: 3/28
    • Online Certification

      Introduction to Git and GitHub

      Deep Learning Specialization with TensorFlow 2

      Deep Learning Specialization

      Research Paper

      Research Paper Image

      AdaFisher: Adaptive Second Order Optimization via Fisher Information

      This paper presents the AdaFisher optimizer, a novel approach integrating Fisher information within the Adam family. It outperforms Adam, AdamW, AdaHessian and Shampoo on various tasks such as image classification and language modeling.

      ICLR 2025 Main Conference.

      Honors and Awards

      • Fonds de recherche du QuĂ©bec (FRQNT) Masters (B1X) Scholarship, 2024-2025
        Awarded $26,667
      • Concordia University Split Merit Scholarship, 2023-2024
        Awarded $5,000
      • Ivan Velan Student Award, 2023
        Awarded $1,000 for outstanding athletic performance

      Experience

      MILA - Quebec AI Institute

      September 2023 - April 2025

      AI/ML Research Student

      • Developed AdaFisher, a novel second‑order optimizer that significantly improves performance over Adam in image classification and language modeling, demonstrating superior convergence efficiency and generalization.
      • Designed and ran large‑scale training experiments on vision and LLMs (GPT‑1), optimizing hyperparameters, fine‑tuning architectures, transfer learning, and scaling distributed training for robust empirical validation.
      • Led theoretical research on neural network optimization, curvature‑aware updates, MVPs, and second‑order methods, bridging mathematical insights with real‑world performance gains.
      • Served as a reviewer for top-tier conferences, including ECCV 2024 and NeurIPS 2024, CVPR 2025 and ICML 2025.
      • Collaboration with SpeechBrain team for testing AdaFisher on Speech tasks
      • Project supervised by Dr. Eugene Belilovsky, Dr. Guy Wolf , and Dr. Mahdi S. Hosseini

      Yale University X MILA - Quebec Institute of Artificial Intelligence

      September 2024 - January 2025

      AI/ML Research Collaborator

      • Leading research on developing novel neural network architectures based on an innovative mathematical framework.
      • Implementing and optimizing these architectures within LLMs to enhance performance and computational efficiency.
      • Developing methods to capture complex oscillatory patterns found in NLP and speech processing tasks, leveraging insights from neuroscience.
      • Collaborating with Dr. Yanlei Zhang and Yale University research team on advancing neural network design.

      Murmuration SAS

      June 2023 - August 2023

      Machine Learning Engineer

      • Completed a three-month internship as a Machine Learning Engineer, contributing to the European research project "DeepCube." My main focus was developing a sophisticated price engine model, which I achieved by implementing two key algorithms:
        • A constrained optimization algorithm using SciPy
        • A reinforcement learning model based on the Deep Q Network (DQN) algorithm
        To further enrich the training dataset, I integrated a Generative Adversarial Network (GAN) for synthetic data generation. The results of my work were presented through a comprehensive dashboard, expertly designed by Mrs. LAINE.

      EuroMoonMars

      June 2021 - September 2021

      Commander // Analog Astronaut

      • Commander during the EuroMoonMars Poland 7 (EMMPOL7) mission organized by EuroMoonMars (EMM), the International Lunar Exploration Working Group (ILEWG), and the Analog Astronaut Training Center (AATC). This mission aimed to simulate the living conditions of a future lunar base. During a week in total isolation, I conducted several experiments:
        • Experiment n° 1: Conducted reinforcement learning experiments on a rover navigating challenging sandy terrain. Defining the reward function, action space and the algorithm (DQN).
        • Experiment n° 2: Growing plants subjected to lunar gravity. This experiment aimed to compare the growth of watercress seeds under lunar and terrestrial gravity.
        • Experiment n° 3: Designing the payload of a lunar launcher that can be 3D-printed to send biological samples to an orbiting lunar module in emergencies. Along with another student, I designed the payload in CATIA and printed it using a 3D printer.

      Airbus Defence and Space

      July 2021 - August 2021

      Technician in Industrialization, Production and Integration of Optical equipment on Satellite

      • Internship at the end of my second year of integrated preparatory class. Mandated activities:
        • Metrology pole:
          • Analyzed a measurement specification issued by the project.
          • Performed CAD analysis and used PC-DMIS and SpaceAnalyst software to write the measurement program.
          • Followed up on a measurement test on machines and analyzed the results, identifying issues from the procedure.
        • Thermal vessels pole:
          • Analyzed the test specification provided by the project.
          • Prepared testing setups and resources.
          • Monitored the tests and produced test reports.
        • Logistics pole:
          • Followed the receipt and shipment of materials from unloading to storage.
          • Handled the ordering process and organization.
          • Used SAP software for logistics management.
        • Wiring pole:
          • Defined a wiring procedure from project specifications.
          • Conducted wiring among electrical devices on a satellite.
        • IT Department:
          • Participated in the web development of an application.
          • Learned and practiced HTML, PHP, JavaScript, and CSS languages.

      Projects

      • All
      • ML
      • Project

      N-bodies-problem

      PixelPulse

      HeatWave

      ConquerZone

      LinguaNet

      Skills

      Languages and Databases

      vectorlogo.zone vectorlogo.zone upload.wikimedia.org vectorlogo.zone vectorlogo.zone vectorlogo.zone

      Frameworks

      vectorlogo.zone vectorlogo.zone vectorlogo.zone upload.wikimedia.org

      Tools

      vectorlogo.zone vectorlogo.zone opencv.org vectorlogo.zone upload.wikimedia.org

      Beyond Academics

      Concordia Men's Stingers Rugby

      Rugby with Concordia Men's Stingers

      I had the privilege of playing rugby with Concordia's Men's Stingers team, an experience that not only strengthened my athleticism but also instilled a sense of discipline, teamwork, and perseverance, key traits that I bring into my academic and professional life. We won the Dave Hardy Cup against McGill during the 2022 season.

      Analogue Astronaut Experience

      Commander of the EuroMoonMars Poland 7 (EMMPOL7) Mission

      I served as the commander during the EuroMoonMars Poland 7 (EMMPOL7) mission, organized by EuroMoonMars (EMM), the International Lunar Exploration Working Group (ILEWG), and the Analog Astronaut Training Center (AATC). This mission was supported by the European Space Agency (ESA) and aimed to simulate the living conditions of a future lunar base.

      The mission involved leading a team to tackle the challenges of isolation, limited resources, and remote communication, providing invaluable insights into future space exploration scenarios.

      Rugby with CSV

      Rugby with CSV

      I started playing rugby at CSV when I was 9 years old and continued until the age of 18. This decade of experience allowed me to grow not only as a player but also as a team leader, fostering strong communication and leadership skills.

      Titles won:

      • Champions du Lyonnais
      • Vice-champions de France in the Cadets category

      These victories were a testament to our dedication and teamwork, and they remain some of the proudest moments of my rugby career.