Research & Projects

Showcasing my work in healthcare technology.

Predictive Model for Mexican Startup Success

*Learned to develop and deploy APIs by engineering a full-stack web application: built a FastAPI backend deployed on Google Cloud Run and a dynamic JavaScript frontend with Chart.js for interactive data visualization and function graphing.

Virtual and Mixed Reality for Healthcare Service, Education and Clinical Simulation

*Collaborated on developing a realistic, interactive VR model of a human heart using software engineering principles and game engine technology (Unity).

SKILLS: Startup, Entrepreneurship, Data Science, Machine Learning, Python, FastAPI, Research, Teamwork

SKILLS: Virtual Reality, Mixed Reality, Programing, GitHub Repository Management, Teamwork.

3D Reconstruction of a Surgical Guide for Dental Implant Procedures

*Modeled and reconstructed a patient-specific surgical guide for dental implants using Cone Beam Computed Tomography (CBCT) data.

SKILLS: CBCT, Medical Imaging, Dental Implants, 3D Reconstruction, Scan IP Software, Teamwork.

Design of an Analog Signal Conditioning System for Electrocardiographic (ECG) Signals

*Designed and implemented a multi-stage analog filter to process and condition real electrocardiographic (ECG) signals as part of a biomedical engineering team.

SKILLS: Electrocardiographic Signals, ECG, Analog Filter, Signal Conditioning, Biomedical Engineering.

*Utilized Particle Image Velocimetry (PIV) to visualize and quantify flow patterns and vortices around a structural profile.

SKILLS: Particle Image Velocimetry, Vortices, Hemodynamic Behavior , Cardiovascular Implants, Research.

PIV Image Processing: Flow Through an Object

*Worked closely with physicians and hospital staff at the Gea Gonzalez Hospital to ensure clinical accuracy and address real world workflow challenges, focusing on human-technology interaction.

*The skills gained are directly applicable to modeling and predicting hemodynamic behavior and wear in cardiovascular implants like heart valves.

*The system applied signal processing techniques to remove key artifacts: a high-pass filter (≥0.05Hz) for baseline wander, a low-pass filter (≤150Hz) for high-frequency noise, and a notch filter (60Hz) to eliminate powerline interference.

*Successfully demonstrated the project at the ISB Project Fair 2023-2, UNAM, receiving formal recognition for scientific merit.

*Processed medical images and executed the 3D reconstruction using ScanIP software, creating a precise model to improve surgical accuracy and planning.

*Imparted a "VR in Medical Education" workshop during the First Digital Health Congress hosted by UNAM.

*Utilized Python for data acquisition (web scraping) and model development, applying numerical and statistical analysis to assess complex startup variables.             

*Working on publishing a scientific article on the machine learning model developed in collaboration with a professor and a classmate, designed to predict the success potential of Mexican startups.

*Engineered an interactive dashboard using Shiny for Python to visualize and quantify the impact of key success factors for Mexican startups, enabling data-driven assessment of their growth potential.