Hi, I'm Nathan :) I'm a quantitative behavioral scientist and psychology PhD student operating at the nexus of behavioral science, data science, and computational social science.

› ʙᴀᴄᴋɢʀᴏᴜɴᴅ I'm currently a 3rd-year PhD student in the Department of Psychology at Cornell advised by Professor Jordan C. Wylie. I leverage a diverse array of quant and machine learning methods to model how and why people: (1) exhibit curiosity to learn about immoral agents and behaviors; (2) perceive individuals who adhere to or deviate from rules; and (3) leverage moral praise to enforce cooperative behavior.

This past summer, I completed a PhD-level data science modeling internship at Discover Financial Services leveraging LLMs to assist the Anti-Money Laundering and Financial Crime Investigation Unit.

Previously, I studied the impact of social norms on virtuous behavior as a research technician in Professor Liane Young's Morality Lab and Professor Gregg Sparkman's Social Influence and Social Change Lab in the Boston College Department of Psychology and Neuroscience. Prior to this, I contributed to fMRI research on mental states and neural synchrony as a lab manager and research specialist in Professor Diana I. Tamir's Princeton Social Neuroscience Lab.

I received my BS in psychology and minor in philosophy (cum laude) in 2020 from Duke University, where I worked primarily as a research assistant in Professor Felipe De Brigard's Imagination and Modal Cognition Lab on experimental philosophy projects related to memory and causal reasoning.

› sᴋɪʟʟs I primarily work in Python (6+ years: 𝚙𝚊𝚗𝚍𝚊𝚜/𝚙𝚘𝚕𝚊𝚛𝚜, 𝚋𝚜𝟺/𝚜𝚎𝚕𝚎𝚗𝚒𝚞𝚖, 𝚙𝚢𝚝𝚘𝚛𝚌𝚑/𝚔𝚎𝚛𝚊𝚜/𝚜𝚌𝚒𝚔𝚒𝚝-𝚕𝚎𝚊𝚛𝚗, 𝚝𝚛𝚊𝚗𝚜𝚏𝚘𝚛𝚖𝚎𝚛𝚜, 𝚟𝚕𝚕𝚖) and R (5+ years: 𝚝𝚒𝚍𝚢𝚟𝚎𝚛𝚜𝚎, 𝚕𝚖𝚎𝟺, 𝚋𝚛𝚖𝚜) to clean and analyze behavioral data, but I also leverage JavaScript and JS frameworks (5+ years: jQuery, React.js, Next.js, jsPsych) to program and host web experiments.

My eclectic day-to-day work includes study and stimulus design, ML and statistical modeling, data visualization, and manuscript preparation. I also have previous experience conducting brain imaging with fMRI and handling data preprocessing parallelized on high performance computing clusters.

› ᴄᴏɴᴛᴀᴄᴛ Please feel free to reach out over email: nl453 [at] cornell [dot] edu