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Andrea Rossi, PhD
Drug Discovery | Computational Chemistry | Machine Learning | Bioinformatics
Dr. Andrea Rossi is a highly accomplished computational scientist with over 20 years of experience in drug discovery, technology, and biologics. With a strong background in computational chemistry, biology, machine learning, and bioinformatics, Dr. Rossi possesses a deep expertise in analyzing biological data, protein modeling, and solving scientific problems in pharmaceutical, biotechnology, and startup settings.
Dr. Rossi's computational skills include proficiency in Machine Learning, Deep Learning, Neural Networks, Data Science, Data Mining, Data Analysis, Statistics, Python, R, Unix, Perl, Bash, Pytorch, Scikit-learn, SQL, C, and C++. His experience spans across biologics such as antibody modeling, affinity maturation, and bioinformatics, as well as small molecules involving cheminformatics, virtual screening, and protein-ligand affinity.
Educationally, Dr. Rossi completed Post-Doctoral Fellowships at the University of California, San Francisco, and The Rockefeller University. He holds a Doctor of Philosophy (Ph.D.) in Physics (Condensed Matter, Statistical Mechanics) from the International School for Advanced Studies SISSA/ISAS in Trieste, Italy, and Bachelor's and Master's degrees in Theoretical Physics from the Università degli Studi di Firenze.
Throughout his career, Dr. Rossi has held prominent roles including Senior Staff Data Scientist at Valo, Principal Scientist at Atomwise, Associate Director at Compugen USA, Inc., and Principal Scientist at Pfizer. With an extensive track record in research and product development, Dr. Rossi's contributions have been pivotal in advancing preclinical and clinical research in biologics and small molecules.