Emmanuel Rosa Delgado

B.S. in Data Science | Materials Science | Machine Learning & Computer Vision | Autonomous Experimentation

Humacao, Puerto Rico

About

Research experience in Materials Science, Biomedical Applications, and Autonomous Experimentation, focusing on Machine Learning and Computer Vision. Skilled in ML-driven automation, probabilistic modeling, and scientific computing, with a strong interest in developing AI-driven systems for societal impact.

Experience

  • Data Analyst at On Point Strategy
    Jan 2026 - Present · 7 mos

  • Research Assistant at Universidad de Puerto Rico en Humacao
    Mar 2025 - Jun 2025 · 4 mos

    Advisors: Idalia Ramos Colón & José O. Sotero Esteva Designed a 3D-printed Pinched Flow Fractionation (PFF) microfluidic device using CADQuery for size-based separation of carbon microspheres. Tested device performance across flow conditions and configurations using UV-Vis spectroscopy, with results confirming size-selective separation consistent with collaborators’ simulations and Scanning Electron Microscopy (SEM) analysis.

  • Research Assistant Intern at Brookhaven National Laboratory
    Aug 2024 - Dec 2024 · 5 mos

    Advisor: Dr. Kevin G. Yager Integrated vision models into autonomous loops to analyze x-ray scattering data, optimizing experimental workflows and accelerating discoveries. Simulated Gaussian Process-based decision-making with gpCAM, leveraging prior x-ray scattering data to enhance prediction accuracy and improve parameter space exploration.

  • Undergraduate Research Assistant at Universidad de Puerto Rico en Humacao
    Mar 2022 - Aug 2024 · 2 yrs 6 mos

    Advisor: José O. Sotero Esteva || Collaborator(s): Vibha Bansal, Ezio Fasoli Developed computer vision algorithms for detecting wells in deformed 96-well plates, enhancing accuracy under varying conditions. Combined Hough Transform with neural networks and knowledge transfer to improve detection while reducing training requirements and human intervention. Designed a smartphone-compatible method for field-based colorimetric analysis and built a Python-based Streamlit application as a cost-effective alternative to laboratory equipment.

  • Undergraduate Research Assistant at University of Chicago
    Jun 2023 - Aug 2023 · 3 mos

    Advisor: Dr. Kenneth B. Bader Developed an algorithm to evaluate the precision and targeting accuracy of a motion-tracking system for tissue model monitoring. Collaborated with a multidisciplinary team to integrate bubble-based ablation with focused ultrasound therapy and a collaborative robotic positioner for therapeutic alignment. Applied advanced Computer Vision techniques, utilizing SURF and ORB algorithms for object detection and image registration, enhancing tracking accuracy.