● Experimental design: Design neurophysiological and behavioral experiments in rhesus macaques, yielding 3 first-author publications on reinforcement learning (RL) to date. ● Statistical analysis: Develop various sets of RL computational models for neurophysiological and behavioral data sets. Analyze experimental data using a variety of statistical analysis including but not limited to GLM, ANOVA, T-Test in R, Matlab, python, and mixed effect model to deliver a high-impact publications on RL. ● Statistical expertise: Build predictive models using multiple regression testing and recording single and multiunit activity using microelectrode arrays implanted in the orbitofrontal cortex (OFC), dorsolateral prefrontal cortex (DLPFC), ventrolateral prefrontal cortex (VLPFC) and caudal & rostral anterior cingulate cortex (ACC) using Matlab . ● Team leadership: Train and manage NIMH post-bac research assistants to implement research designs, create second-author publication opportunities and communicate findings. ● Communicating results: Translate and communicate findings at various conferences and symposiums throughout the year.

● Cross-functional collaboration: Work closely with the statistical modeling and marketing teams to evaluate data to improve product UX, inform execution and narrow audience targeting. ● Statistical modeling: Develop and improve statistical models to predict player performance. ● Data analysis & implementation: Leverage statistical data analysis to identify marketing insights and trends, generating the overall marketing strategy.