ʙᴀᴄᴋɢʀᴏᴜɴᴅ
I'm a moral psychology field experiment coordinator in the Morality Lab working with Dr. Liane Young and in the Social Influence and Social Change Lab with Dr. Gregg R. Sparkman in the Dept. of Psychology and Neuroscience and the Schiller Institute for Integrated Science and Society at Boston College. I'm also a research coordinator on the MiT Applied Cooperation Team. My job is to help run behavioral studies that validate psychological interventions for good (e.g.: supporting public health, increasing charitable donation) in the real world.
Previously, I was a lab manager + research specialist in the Princeton Social Neuroscience Lab working in the Princeton Neuroscience Institute and Dept. of Psychology with Dr. Diana I. Tamir at Princeton University.
I received my B.S. in psychology and minor in philosophy from Duke University, where I worked as a research assistant in the Mind at Large Lab and a postgraduate research fellow in the Imagination and Modal Cognition Lab and the Moral Attitudes and Decision-Making Lab under the supervision of Dr. Paul Seli, Dr. Felipe De Brigard, and Dr. Walter Sinnott-Armstrong, respectively.
I'm fascinated by open questions in moral psychology (norms and emotions) and am currently applying computational methods to study social cognition. I also maintain a keen interest in the xphi of religion.
sᴋɪʟʟs
I work almost exclusively in python (e.g., pandas, scikit-learn, and huggingface) and r (tidyverse) to clean and analyze behavioral data, but I've also used javascript (i.e., jquery, react) here and there. I'm currently looking to start using php and d3.js more actively!
As a psychology and neuroscience researcher, my day-to-day work involves study and stimulus design,
statistical analysis,
data visualization, and
manuscript preparation. I have also conducted
brain scans using
fMRI and preprocessed data via
high performance computing.
ᴄᴏɴᴛᴀᴄᴛ
Please feel free to reach out over email:
✉ nathan [dot] liang [at] bc [dot] edu
Thanks for stopping by , and I hope you have a fantastic day!
ᴄᴏɴᴛʀɪʙᴜᴛɪɴɢ ᴛᴏ sᴛᴀᴄᴋ ᴏᴠᴇʀғʟᴏᴡ ✨
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