cv | Antonio Collesei

Full Name	Antonio Collesei
Date of Birth	16th November 1993
Languages	Italian (C2), English (C1), Spanish (B1), German (A2)

2020 - 2023
PhD in Bioinformatics

University of Padua, Padua, Italy
- Program in Clinical and Experimental Oncology at Istituto Oncologico Veneto, IRCCS
- Part of Vandin Lab at Department of Information Engineering
2019 - 2020
2nd Level Master's Degree in Machine Learning and Big Data in Biomedical Research

University of Padua, Padua, Italy
- Thesis on "ML Model to predict Pharmacological Response from DNA Alterations"
2015 - 2017
Master's Degree in Bioengineering

University of Padua, Padua, Italy
- Thesis on "Quantifying immune contexture of tumors using imaging and sequencing data"
- Curriculum in biological data analysis and elaboration
2012 - 2015
Master's Degree in Bioengineering

University of Padua, Padua, Italy
- Thesis on "Mathematical Modeling of HIV Infection"
- Curriculum in biological data analysis and elaboration

2023 - now

Health Researcher

Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
2020 - 2023

Doctoral Researcher

Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
2018 - 2020

Biomedical Engineer

Inventis s.r.l., Padua, Italy
2017

Research Assistant

Medizinische Universität, Innsbruck, Austria

Single-cell transcriptomics
- Unnecessary saying that this is the trend of the past few years. Let's jump in.
- Pseudo-temporal models are cool, but they are still a bit raw in terms of mathematical explainability.
Causality
- Correlation is not Causation: my new mantra.
- I have recently developed ALLSTAR, a causally reliable tool for omics data.
- I read "The Book of Why" by Judea Pearl.
Pharmacogenomics
- Finding genetic relationships between patients and medicaments is pivotal to enable personalized medicine.
- I am not working on this as much as I would want to.