Daniel Haehn
About Daniel Haehn
Daniel Haehn is an Assistant Professor at the University of Massachusetts Boston, specializing in the intersection of brain connectivity and machine perception to advance biologically inspired artificial intelligence. He leads the Machine Psychology Research Group and the Artificial Intelligence Core Facility, while also engaging in open science initiatives.
Work at UMass Boston
Daniel Haehn has served as an Assistant Professor at the University of Massachusetts Boston since 2019. In this role, he leads the Machine Psychology Research Group and the Artificial Intelligence Core Facility. His research focuses on the intersection of brain connectivity and machine perception, aiming to enhance biologically inspired artificial intelligence. Additionally, he actively engages in open science initiatives, promoting accessibility and transparency in research practices.
Education and Expertise
Daniel Haehn earned his Doctor of Philosophy (PhD) in Computer Science from Harvard University, where he studied from 2013 to 2019. Prior to this, he obtained a Diplom (MSc) in Medical Computer Science from Heidelberg University, studying from 2004 to 2010. His academic background equips him with a strong foundation in both computer science and medical applications, allowing him to contribute effectively to research in artificial intelligence and machine perception.
Background
Before his current position, Daniel Haehn accumulated diverse research experience. He worked as a Research Assistant at the DKFZ German Cancer Research Center in 2009, followed by a Fellowship at Brigham and Women's Hospital from 2008 to 2009. He also served as a Research Scholar at the University of Pennsylvania from 2010 to 2011 and as a Research Software Developer III at Boston Children's Hospital from 2011 to 2013. His internships included roles at Mental Canvas in 2014 and Apple in 2017.
Research Interests
Daniel Haehn's research interests lie at the convergence of brain connectivity and machine perception. He aims to enhance biologically inspired artificial intelligence through his work. His leadership of the Machine Psychology Research Group at UMass Boston reflects his commitment to advancing knowledge in this field. He is also dedicated to open science initiatives, advocating for greater accessibility and transparency in research methodologies.
Contact Information
For inquiries, Daniel Haehn can be reached via email at daniel.haehn@umb.edu. More information about his research and initiatives can be found on his website at https://mpsych.org.