Alejandra Perez Rondon

Computer Vision Engineer,Machine Learning Engineer,Biomedical Engineer

About me

Name: Alejandra Perez Rondon

Profile: Machine Learning | Computer Vision Engineer

Email: aperezr20@uniandes.edu.co

Download CV

About me

Hello! I’m Alejandra Perez Rondon, a Google DeepMind Scholar with a Master’s degree in Biomedical Engineering from the Universidad de los Andes, Colombia. Under the guidance of Professor Pablo Arbeláez, I specialized in Computer Vision, focusing on its application to endoscopic minimally invasive procedures.

Currently, I am expanding my research focus through an internship at Johns Hopkins University, where I’m working on 3D reconstruction for image-guided surgery and human pose estimation in surgical clinical settings.

I have also gained valuable experience working in startups like Arkangel AI and Anteia, where I developed capabilities to work with tech teams to build and deploy efficient solutions.

At the moment, I am seeking full-time job opportunities to contribute to AI research and development, particularly to solve healthcare challenges through innovative engineering solutions.

Publications

Research Papers

MuST Paper Image

MuST: Multi-Scale Transformers for Surgical Phase Recognition

Alejandra Perez*, Santiago Rodriguez*, Nicolas Ayobi, Nicolás Aparicio, Eugénie Dessevres, and Pablo Arbeláez

International Conference on Medical Image Computing and Computer Assited Intervention (MICCAI 2024)

Paper

Code

GraSP Paper Image

Pixel-Wise Recognition for Holistic Surgical Scene Understanding

Nicolas Ayobi, Santiago Rodriguez*, Alejandra Perez*, Isabela Hernández *, Nicolás Aparicio, Eugénie Dessevres, Sebastián Peña, Jessica Santander, Juan Caicedo, Nicolás Fernández, and Pablo Arbeláez

Under revision for Medical Image Analysis journal (2024)

Paper

Code

GraSP Paper Image

MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation

Nicolas Ayobi, Alejandra Perez, Santiago Rodriguez, and Pablo Arbeláez

IEEE International Symposium on Biomedical Imaging (ISBI) 2023

Paper

Code

GraSP Paper Image

PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery

Adrito Das, ..., Alejandra Perez, Santiago Rodriguez, Pablo Arbeláez, et al.

Endoscopic Vision Challenge held in the International Conference on Medical Image Computing and Computer Assited Intervention (MICCAI 2024)

Paper

GraSP Paper Image

SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge

Dimitrios Psychogyios, ..., Nicolás Ayobi, Alejandra Perez, Santiago Rodriguez, Pablo Arbeláez, et al.

Endoscopic Vision Challenge held in the International Conference on Medical Image Computing and Computer Assited Intervention (MICCAI 2023)

Paper

Experience

Some of my work experiences in industry and academia.

Research Visiting Scholar

Jhons Hopkins University - ARCADE Lab

July 2024 - Present

Develop pipelines for human pose estimation in operating rooms, contributing to the creation of virtual environments for complex surgical scenes under guidance of Prof. Mathias Unberath.

Research Assistant

Universidad de los Andes - CinfonIA Lab

January 2023 - Present

Conducted research and implemented computer vision models to understand surgical workflows in minimally invasive surgeries, focusing on the design and development of advanced techniques to enhance surgical scene analysis under guidance of Prof. Pablo Arbeláez.

Machine Learning Engineer

Arkangel AI

October 2023 - July 2024

Trained and deployed Machine Learning models for Chronic Kidney Disease early diagnosis, adapted Large Language Models (LLMs) for medical applications, and collaborated with clinicians and medical teams to provide healthcare solutions.

Computer Vision Engineer

Anteia

January 2023 - October 2023

Trained and deployed computer vision models for biometric liveness detection, enhancing automated onboarding services for companies. Focused on developing solutions to ensure secure and reliable user authentication processes.

Undergraduate Research Assistant

Universidad de los Andes - CinfonIA Lab

June 2022 - December 2022

Conducted research for surgical instrument segmentation in robot-assisted surgeries.

Education

Academic background and qualifications.

Master’s Degree in Biomedical Engineering

Universidad de los Andes

January 2023 - December 2024

Specialized in computer vision for medical image analysis, focusing on action recognition, image segmentation, and object detection.

Undergraduate Degree in Biomedical Engineering

Universidad de los Andes

January 2019 - December 2022

Bsc in Biomedical Engineering with Cum Laude distinction

Awards & Certifications

Scholarship

Google DeepMind Scholarship

Recipient of the DeepMind-CinfonIA full scholarship for the master’s degree in Biomedical Engineering at Universidad de los Andes.

Award

Endoscopic Vision Sub-Challenge MICCAI 2023

PitVis - Workflow Recognition in Endoscopic Pituitary Surgery | Step and Instrument recognition

Award

Endoscopic Vision Sub-Challenge MICCAI 2022

Surgical Instrumentation Segmentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge (SAR-RARP50)

Certificate

Data Scientist

Completed the Udacity Nanodegree Program and developed skills on software engineering, data engineering, and experimental design & recommendation engines.

Certificate

Biomedical Imaging

Attended to the 15th IEEE EMBS-SPS International Summer School on Biomedical Imaging, where I participated in lectures and hands-on projects focused on biomedical image processing using deep learning.

Get in Touch
  • (+57) 318 544 5043
  • a.perezr20@uniandes.edu.co