Alessandro Maria Selvitella

Alessandro Maria Selvitella is an Assistant Professor of Data Science and Applied Statistics at Purdue University, Fort Wayne. He holds a Ph.D. from SISSA (2010) and has held academic roles at institutions including McMaster University and the University of Ottawa. His research spans machine learning applications in biology/medicine, mathematical foundations of ML, statistics on manifolds, PDEs, and computational epidemiology.\n

Key affiliations include leadership roles in the Thematic Program on Data Science and COVID-19, organizing workshops like the Workshop in Mathematical and Computational Biology (2021) and the Indiana Digital Crossroads grant initiative. He has received awards such as the Sigma-Xi Researcher of the Year Award (2020) and grants including the Lilly Endowment-funded Indiana Digital Crossroads project.\n

His teaching spans courses like STAT 512 (Applied Regression), STAT 520 (Time Series), and interdisciplinary courses on data science and epidemiology. Research collaborations include work with Kathleen Foster on lizard biomechanics and Anolis locomotion studies. Notable publications address fMRI alignment, Simpson's paradox in quantum mechanics, and socio-economic impacts of pandemics.\n

Labs/teams include leadership in the Data Science Week initiatives (2019-2020) and collaborations with institutions like the Mathematical Biosciences Institute (MBI). His work bridges theoretical mathematics with applied data science domains like public health and neuroimaging.