C*****l
About Candidate
I’m a behavioral and computational neuroscientist with an extensive research background. I have spent a little over 17 years studying and analyzing behavior, from academia (Ph.D. in Neuroscience, postdoc at NIMH) to the private sector. Experienced in developing and implementing predictive models, analyzing large datasets, and communicating complex findings across multidisciplinary teams/conferences. I have a strong ability to translate scientific theory into actionable insights. I have published several papers and have an extensive knowledge of how to conduct literature reviews and compile research documentation.
Nationality
Location
Education
Dissertation defense: Developed and successfully defended a dissertation on the role of ventral striatum and the amygdala in reinforcement learning.
Work & Experience
● 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 throughout the year, including the Society for Neuroscience Conference (SfN), National Institute of Health (NIH), and Neural Networking Summer Internship Program Career Symposium.
