🔴 Biomedical Engineering Postdoctoral Fellowship • Rutgers Artificial Intelligence and Data Science Collaboratory 🎓
🔵 Biomedical Engineering PhD • George Washington University 🎓 | Instituto Superior Tecnico 🎓 | Children's National Hospital 🏥 | Department of Veterans Affairs 🎖️
🐊 Biomedical Engineering BS, Linguistics BA • University of Florida | Universidad de Salamanca | Sorbonne Universites
Building the future of autonomous discovery ⚗️🤖
Currently, my work focuses on automated materials discovery for polymer–protein hybrids, combining:
- 🤖 Self-Driving Laboratories
- 🧠 Bayesian Optimization
- ⚗️ Polymer Chemistry
- 🧬 Protein Stabilization
I design automated experimental workflows that integrate robotic liquid handling, machine learning, and high-throughput experimentation to discover polymer formulations that improve enzyme stability and therapeutic protein performance.
I work at the intersections of **HARDWARE, SOFTWARE, and CLOUDWARE**
Previously, I worked on clinical trials at Children's National Hospital and the Department of Veterans Affairs in Washington, DC. Creating image processing pipelines for functional MRI and B-mode ultrasound scans, I provided software solutions to clinicians, implementing **containerized workflows, role-based access controls, and encrypted data handling**.
**BEFORE THAT** I spent 5 years in the wet-lab, cell culture space to start my formal research training. At my alma maters, the University of Florida and George Washington University, I cultured the following cell types: 🧫 HeLa • HEK293T • Fibroblasts (cardiac and dermal) • hiPSC-CM (human induced pluripotent stem cell cardiomyocytes) • NSCLC (non-small cell lung cancer)
I combined BSL-II best practices with: Biomaterial integration workflows • Adenoviral and lentiviral expression platforms • Magnetic-guided microparticles • Fluorescent nanoparticles for optical tracking • Anti-cancer and auto-immune epigenetics
🔎 Deep interest in the future cell culture automation via self-driving labs 🔎
Python • NumPy • Pandas • SciKit-Learn • GPyTorch • TensorFlow • Matplotlib
Medical Image Segmentation (US, CT, MRI) |-> Disease detection/classification (Diabetes Mellitus) |-> Therapeutic multiphysics simulation from patient images (therapeutic ultrasound - TUS)
Gaussian Process Regression, Bayesian Optimization
Feature Engineering for Chemical and Image Descriptors
Hamilton Liquid Handling Software and Hardware Suites
High-Throughput Screening (optical, fluorescent, kinetic assays)
Automated Experimental Design (Latin Hypercube Sampling, Active Learning via Bayesian Optimization)
Automated Data Processing (Pandas, SQL --> Matplotlib --> Informed Next Hypothesis)
🧬BIOLOGICAL🧬 qPCR • Flow Cytometry 🧪CHEMICAL🧪 SAXS • DLS • SEC-MALS 🔬OPTICAL🔬 Colorimetric and Fluoremetric Assays • SEM • TEM • Confocal • Ultrasound/CT/MRI Abdominal Malignancies ⚙️PHYSICAL⚙️ Release kinetics • Rheology• Mechanical moduli (Instron) • Finite Element Analysis
FDM 3D Printing • SLA 3D Printing • CNC • Mig Welding • Soldering • Certified General Machinist from the University of Florida Design and Manufacturing Lab (Summer 2017)
