Alejandro Avilan Garzon

Research Assistant-Thèse CIFRE chez Ypso-Facto et le LRGP at Ypso-Facto

Alejandro Avilan Garzon has work experience in the field of biotechnology processes. Alejandro began their professional career as a Master intern at Laboratoire Réactions et Génie des Procédés, where they focused on the culture of canine MSCs on microcarriers. From September 2020 to March 2021, they undertook an engineering internship at an undisclosed company, working on the modeling and simulation of bioreactors. During this internship, Alejandro identified different types of bioreactor models and analyzed their scope, complexity, and the experimental information needed for parameter determination. Alejandro also selected a simple model that could be used with minimal experimental data and formulated it in equations. Currently, Alejandro is a Research Assistant at Ypso-Facto, where they are pursuing a PhD in Biotechnology Processes. Alejandro'sthesis topic involves multiscale modeling of a monoclonal antibody production bioprocess for optimal control.

Alejandro Avilan Garzon's education history is as follows:

From 2021 to 2024, Alejandro attended Universite de Lorraine and pursued a PhD in biotechnological processes, specializing in Science de l'ingénierie.

In 2019 and 2020, Alejandro studied at ENSAIA and completed a Master 2 (M2) in Génie des procédés et des bio-procédés, focusing on process and bio-process engineering.

From 2018 to 2020, Alejandro attended ENSIC, where they obtained a Diplôme d'ingénieur in génie des procédés, specifically in process engineering.

Starting from 2014 to 2018, Alejandro studied at Universidad Nacional de Colombia and graduated with a Diplôme d'ingénieur in chemical engineering.

Based on the provided information, no other assumptions can be made about Alejandro Avilan Garzon's educational background.

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Timeline

  • Research Assistant-Thèse CIFRE chez Ypso-Facto et le LRGP

    November, 2021 - present

  • Research Assistant

    April, 2021

  • Engineering internship - Modeling and simulation of bioreactors

    September, 2020