- 7 years of experience in data collection, analysis, visualization, and presentation
- Proven record of teaching and communication skills
- Effective working independently and as a cooperative team leader
Ph.D. in Psychology, Vanderbilt University, January 2018
Major: Cognition and Cognitive Neuroscience, GPA: 3.96/4.0
Minor: Graduate Quantitative Methods, GPA: 3.90/4.0
Thesis: Understanding Real-World Visual Expertise in the Multidimensional Space
Adviser: Thomas J. Palmeri
B.S. in Psychology, Peking University, July 2012, GPA: 3.44/4.0
Thesis: Understanding the Neural Mechanisms of Motion Perceptual Learning
Adviser: Dr. Fang Fang
Research Data Scientist, axialHealthcare, April 2017-present
- Perform big data advanced analytics to improve clinical and economic outcomes for patients in pain, focusing on issues such as opioid abuse, addiction, and overdoses.
Graduate Research Assistant, Vanderbilt University, August 2012-present
- Estimated sequential effects in human visual categorization, used R, JAGS, STAN, and Matlab.
- Quantified holistic processing in faces with different configural information, used R and Matlab.
Undergraduate Research Assistant, Peking University, October 2009-July 2012
- Measured face adaptation and its effect on gender discrimination, used Matlab, SPSS.
- Investigated the neural mechanisms of motion perceptual learning via Event-Related Potentials, used Matlab, SPSS.
Graduate Teaching Assistant, Vanderbilt University, August 2012-Winter 2016
- Invited to guest lecture in five courses, both graduate and undergraduate level, on topics such as programming web-based experiments, developing bird expertise test using psychometric modeling, cognitive modeling of response times, how to excel in college teaching etc.
- Served as teaching assistant in four courses including Statistical Analysis, Quantitative Methods, Cognitive Psychology, and Experimental Design.
- Seminar and Practicum in College Teaching. (* Certificate in College Teaching)
Undergraduate Teaching Assistant, Peking University, July 2011-July 2012
- Teaching assistant in Signal Detection Theory for Dr. Zili Liu from UCLA.
- Residential Assistant/Adviser in PKU-Yale Joint Program.
- Computational Modeling: JAGS, WinBUGS, STAN, Matlab
- Data Report: R Markdown, R ggplot2, Git, PowerPoint, Word, Illustrator
- Shen, J., & Palmeri, T.J. (2016). Modeling individual differences in visual categorization. Visual Cognition, 24, 260-283. doi:10.1080/13506285.2016.1236053 (link)
- Shen, J., & Palmeri, T. J., (2014). The perception of a face can be greater than the sum of its parts. Psychonomic Bulletin & Review. 1-7. doi:10.3758/s13423-014-0726-y (link)
- Shen, J., Mack, M. L., & Palmeri, T. J., (2014). Studying real-world perceptual expertise. Frontiers in Psychology, 5, 857. doi:10.3389/fpsyg.2014.00857 (link)
- Yang, H., Shen, J., Chen, J., & Fang, F. (2011). Face adaptation improves gender discrimination. Vision Research, 51(1), 105-110. doi:10.1016/j.visres.2010.10.006 (link)
SELECTED CONFERENCE PRESENTATIONS
- Shen, J., Annis, J., Palmeri, T. J. (August 2016). Modeling Categorization by Real-World Perceptual Experts. Talk presented at the 49th Annual Meeting of the Society for Mathematical Psychology, New Brunswick, New Jersey. (* Travel Award)
- Shen, J., Palmeri, T. J. (May 2015). Modeling the Dynamics of Visual Object Categorization. Poster presented at the annual meeting of Vision Sciences Society, St. Pete Beach, Florida.
- Shen, J., Palmeri, T. J. (April 2014). Modeling the Continuum of Real-World Perceptual Expertise. Talk presented at Perceptual Expertise Network XXVIII workshop, Denver, Colorado.
- Shen, J., Palmeri, T. J. (July 2013). The perception of a face is greater than the sum of its parts. Poster presented at 9th Asia-Pacific Conference on Vision, Suzhou, China. (* Travel Award)
- Bayesian Analysis Latent Model (R, JAGS)
- Bayesian Cognitive Modeling (R, WinBUGS)
- Computational Modeling (Matlab)
- Item Response Theory I & II (R)
- Research Methods in Clinical Psychology, Experimental Design (R)
- Correlation and Regression (SAS)
- Statistical Inference (R)
SELECTED HONORS AND AWARDS
- Lisa M. Quesenberry Foundation Scholarship, Vanderbilt University, 2016
- IU Young Scientist Award from the Society for Mathematical Psychology, 2016
- The William F. Hodges Teaching Assistant Award, Vanderbilt University, 2015
- Pivot of Excellent Student of Peking University, 2009
- Scholarship for Excellent Freshman by Peking University, 2008
- Co-organizer, Data Science Nashville Meetup, 2017-present
- Co-organizer, Greater Nashville Healthcare Analytics Meetup, 2017-present
- Tutor, Nashville Adult Literacy Council, 2017-present
- Reviewer, Psychonomic Bulletin & Review, 2017
- Committee Member, Vanderbilt University Undergraduate Honors Committee, 2017
- Judge, Vanderbilt University Undergraduate Research Fair, 2016
- Expert TA Panelist, Vanderbilt University Teaching Assistant Orientation, 2014