About Me
Hi 👋 I’m Luis Henry Gonzalez Torres, a fourth-year medical student at McGill University with a passion for radiology and medical imaging. My academic interests span from artificial intelligence in healthcare to imaging informatics, and clinical decision-making tools. I’ve also collaborated on research exploring reproducibility of thoracic CT scan measurements. I actively contribute to workshops and initiatives, such as teaching peers to develop AI algorithms and organizing inter-university ultrasound competitions. My future goal is to combine my love for anatomy, medical imaging and technology, aiming to advance patient care.
Interests
- Medicine
- Medical imaging
- Computer Science
Education
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M.D.,C.M.
McGill University
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B.H.Sc. Health Science
University of Ottawa
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Diploma of College Studies in Natural Sciences
Cégep de l'Abitibi-Témiscamingue
Experience
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AI Internship
SONARO AIResponsibilities include:
- Build a U-Net AI model for 3D reconstructions of carotid vascular structures from 2D ultrasound images.
- Explore innovative strategies utilizing imaging to improve the prediction of thromboembolic events.
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Lung Physiology and Imaging - Centre for Respiratory Research
McGill UniversityResponsibilities include:
- Correlate cutting-edge lung physiology devices, such as oscillometry, with different imaging modalities.
- Develop Python and MATLAB codes for the lab to advance various research projects.
- Analyzed radiomics derived from community healthcare CT scans to study their correlation with respiratory conditions.
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Metrics-Lab Research Intern
University of OttawaResponsibilities include:
- Applied machine learning to operating room data (patient demographic, anesthesia used, etc..) to optimize and enhance orthopedic surgery efficiency.
- Developed a mathematical model for a 6 degrees of freedom (DOF) mobile C-arm and a 4-DOF operating table as an integrated kinematic chain to support research in computer-assisted interventions.
Education
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M.D.,C.M.
McGill University- Completed multiple clerkship electives in medical imaging and related specialties
- Nominated for Outstanding Professionalism and Empathy during Clerkship
- Clarke McLeod Scholarship - Anatomy Prosection Award
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B.H.Sc. Health Science
University of Ottawa- GPA: 3.98/4.0
- Machine learning-derived guidelines for operating room efficiency
- NSERC - Undergraduate Student Research Awards
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Diploma of College Studies in Natural Sciences
Cégep de l'Abitibi-Témiscamingue- Competed with the varsity soccer team
- Fonds de recherche du Québec - Nature et technologies: College Research Award
Recent Publications
Gonzalez Torres, L. H., Biem, H. J., McInnis, M., Aris, F., […], San Jose Estepar, R., & Dandurand, R. J. (2024).
Reproducibility of automated and manual determination of the pulmonary artery to aorta ratio (PA:A) of "real-world" CT scans.
In European Respiratory Journal.
Pang, R., Gonzalez Torres, L. H., Fotovati, M., Medina Iglesias, P. F., Carroll, T. P., and Dandurand, R. J. (2024).
Characterizing chronic obstructive pulmonary disease using alpha-1 antitrypsin genotype, spirometry, and respiratory oscillometry.
In J Respir Crit Care Med.
Fotovati, M., Medina Iglesias, P. F., Pang, R., Gonzalez Torres, L. H., Artico, C., Hantos, Z., and Dandurand, R. J. (2024).
Transforming asthma management: Advancing towards precision care with spectral and intrabreath oscillometry.
In J Respir Crit Care Med.
Certifications
CS50x Introduction to Computer Science - Harvard Univeristy
Harvard Univeristy ∙
November 2024
I completed an introduction to computer science and programming course, learning to solve problems through computational thinking, algorithms, and data structures. I gained proficiency in foundational programming concepts using C and Python, explored web development with HTML, CSS, and JavaScript, and worked with SQL for database management. The course emphasized correctness, design, and style, culminating in a final project where I applied these skills to create innovative applications.
RSNA Imaging AI Certificate
Radiological Society of North America ∙
June 2024
The RSNA Imaging AI Foundational Certicate, is a six-module program demonstrating prociency in understanding, evaluating, deploying, and safely using AI tools in medical imaging. I am motivated by my strong interest in the integration of AI in radiology and my commitment to stay current with the field’s evolving future.
NIIC Scholarship Program
Society for Imaging Informatics in Medicine ∙
March 2024
Awarded a scholarship to attend a week-long course designed by SIIM and RSNA, providing foundational knowledge in imaging informatics. Driven by a passion for medical imaging and healthcare technology, I continuously pursue self-directed learning to deepen my expertise.
Skills & Hobbies
Technical Skills
Python
MATLAB
R
Hobbies
Soccer
Trail running
Coding
Recent & Upcoming events by MRIG
