Ph.D. Candidacy in Integrative Neuroscience, Rutgers University
M.S. in Behavioral and Neural Science, Rutgers University
Complex Systems Summer School, Santa Fe Institute
M.A. Scholar Award in General Psychology, New York University
B.A. with Comprehensive Honors in Computer Science, University of California
Japan Studies in Nagasaki, Nagasaki College of Foreign Languages
Alessandro Gagliardi is a lecturer in the Data Science, M.S. program at the University of New Haven/galvanizeU in San Francisco. He studied Behavioral and Neural Science at Rutgers University in Newark, New Jersey, advancing to Ph.D. candidacy in 2007. His dissertation topic was on the Temporal Dynamics of the Intrinsic System of the Brain. Prior to that he took courses on Cognitive Psychology and Concepts & Categories at New York University and attended the Complex Systems Summer School at the Santa Fe Institute where he performed original research exploring the delay embedding of an electroencephalogram (EEG) signal of a subject during meditation. He taught statistics, psychology, and neuroscience at Lehman College of the City of New York, Notre Dame de Namur University, the California Institute of Integral Studies, and the University of San Francisco, the last of which awarded him the Innovation in Teaching Award in 2011.
In 2011, he left academia to work in industry as a Data Scientist. He first worked at Socialize (now part of ShareThis) where he helped develop an interest graph, identifying topics of interest of their users. He then moved to Path where he developed their analytics platform, providing insights into user behavior. After that, he went to work at Glassdoor, supporting experiments in improving the quality of their information retrieval system and in modernizing their big data system. In 2014, he began teaching night classes in Data Science at General Assembly. In 2015, he returned to academia full time to teach at the University of New Haven/galvanizeU.
Hanson, S.J., Gagliardi, A.D., Hanson, C. (2009) Solving the brain synchrony eigenvalue problem: conservation of temporal dynamics (fMRI) over subjects doing the same task. Journal of Computational Neuroscience
- “Finding the principal component of synchronization of the neural activity across subjects.” Society for Neuroscience , San Diego, California, USA, November 3-7, 2007.
- “ Differences in spontaneous functional connectivity between autism spectrum disorder (ASD) and neurotypical subjects.” Conceptual Issues in fMRI Interpretation , Guelph, Ontario, Canada, May 22-24, 2009.
- “ Machine learning at Glassdoor.” Social & Digital Analytics Innovation , Miami, Florida, USA, November 5-6, 2014.
- “ Detecting Emotional Content in Anonymous Employer Reviews.” Sentiment Analysis Innovation ; San Francisco, California, USA, April 29-30, 2015
- data engineer.” Big Data and Analytics EdCon 2015 ; Fajardo, Puerto Rico, USA, August 11-14, 2015