Upstream Bioprocess Engineer & Data Scientist · PhD Candidate at IBt-UNAM · CHO cell culture · Recombinant protein production · Biopharmaceutical manufacturing
I'm a bioengineer and PhD candidate in Biochemical Sciences at the Instituto de Biotecnología, UNAM, specializing in upstream bioprocessing and mammalian cell culture (CHO) for therapeutic recombinant protein production. My research focuses on optimizing cell productivity in fed-batch and perfusion bioreactors, applying metabolic analysis and process analytical technology (PAT) to drive data-informed decisions in biopharmaceutical manufacturing.
Beyond the bench, I build computational tools and data science pipelines — from bioreactor simulators to offline-ready PWAs — that bring analytical power directly into the biosafety cabinet. I work with Python, pandas, scikit-learn, and statistical modeling to extract actionable insights from complex bioprocess datasets, bridging wet-lab science with software engineering to accelerate bioprocess development.
Fed-batch and perfusion bioreactor optimization for recombinant protein production with CHO mammalian cells. Process scale-up and design of experiments (DoE).
End-to-end Python pipelines for bioprocess data analysis, statistical modeling, visualization, and predictive analytics using scikit-learn and pandas.
Implementing PAT tools and real-time monitoring strategies to automate bioreactor performance and enable data-driven process control.
Applying genome-scale models (GEMs) and metabolic flux analysis to predict and improve CHO cell productivity and media composition.
Development and optimization of production processes for therapeutic recombinant proteins, monoclonal antibodies, and biosimilars.
Computational and analytical frameworks for advanced cell therapy bioprocesses, including CAR-T cell manufacturing and quality attributes monitoring.
Browser-based kinetics analysis for CHO fed-batch cultures. Visualize growth, viability, and metabolite trends — no installation required.
Interactive web app for teaching and performing the essential calculations to characterize mammalian cell cultures, with CHO cell focus.
High-performance laboratory equipment management system. Schedule, track, and manage lab resources with precision.
CSTR bioreactor simulator using the Monod model and Runge-Kutta integration. Customizable parameters and automated visualizations for bioprocess research.
Automated data pipeline for processing and analyzing flow cytometry data from CHO cell experiments. Reduces manual analysis overhead significantly.
Precision cell passaging calculator from Neubauer counts. Computes viable concentration, viability, and C1V1=C2V2 volumes. Offline-ready PWA.
Growth kinetics calculator: specific growth rate (μ), doubling time, IVCD, qGlc/qGln, and simple feed corrections. Installable PWA.
PWA for molarity calculations, stock solution preparation, and dilution planning in laboratory workflows.
Universal dilution calculator PWA (C1V1 = C2V2) for lab workflows, solution preparation, and biotech applications.