Modeling and Informatics Lab
Research Field
Tsung-Ren (Tren) Huang is currently an Associate Professor in the Department of Psychology at National Taiwan University. Because of his interdisciplinary research, he is also affiliated with the following organizations at National Taiwan University.
[Psychology/Neuroscience]
Graduate Institute of Brain and Mind Sciences
Neurobiology & Cognitive Science Center
Imaging Center for Integrated Body, Mind and Culture Research
[Mathematics/Statistics]
Institute of Applied Mathematical Sciences
Master Program in Statistics
[Applied Fields / AI]
Center for Research in Econometric Theory and Applications
Center for Artificial Intelligence and Advanced Robotics
Our "Modeling & Informatics Laboratory" was established in 2014 in the Department of Psychology at National Taiwan University. We have been pioneering Psychoinformatics and are the leading lab of this field in Taiwan.
We apply data science and computational modeling techniques to study psychology and cognitive neuroscience of social interactions. We are specialized in programming (Python, R, Javascript, PHP, etc.), advanced data analysis (text mining, computer vision, machine/deep learning, etc.), and big-data approaches (crowding sourcing, Spark, etc.).
Psychoinformatics and Neuroinformatics
Computational Modeling of Neural and Cognitive Systems
Learning and Memory of Humans and Machines
Social Cognition & Social Interaction of Humans and Machines (AI / Robots)
2023:NTSC Excellent Young Scholars Award (2023-2027)
2023:Outstanding Teaching Faculty Member at National Taiwan University (top 10%)
2017:Outstanding Teaching Faculty Member at National Taiwan University (top 10%)
2016:Outstanding Teaching Faculty Member at National Taiwan University (top 10%)
2014:MOST Special Outstanding Talent Award (2014-2016)
2009 Ph.D., Cognitive and Neural Systems, Boston University
2003 M.S., Physics, National Taiwan University
2001 B.S., Mathematics, National Taiwan University
2 Vacancies
Job Description
Related to psychology X AI
Preferred Intern Education Level
Undergraduates
Skill sets or Qualities
Familiar with programming and data analyses