Education
University of California, Berkeley
PhD Psychology - Cognition
Advisors: William Thompson, PhD & Keanan Joyner, PhD
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Fordham University
M.S. Clinical Research Methods
Advisor: Christopher Conway, PhD
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New York University
B.A. Political Science; Minors: Computer Science, Child & Adolescent Mental Health
Honors: Cum Laude, Founder's Day Award, Dean's List
Work & Research Experience
D-Lab Data Science Fellow 2023-2024
UC Berkeley, D-Lab
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Teaching and assisting in workshops on a range of computational and statistical skills including NLP, python and R at a range of skill levels.
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Participating in weekly presentations about a range of data and advanced statistical related topics.
Graduate Student Researcher, Experimental Cognition Lab
UC Berkeley, Department of Psychology
Principal Investigator: Dr. William Thompson, PhD
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Developing more complete models of the computational processes that arise in social networks as a consequence of human interaction and the transmission of knowledge from person to person.
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Combining behavioral experiments, computational modeling, and machine learning (NLP and ANN) to study how these processes influence ways of thinking and communicating.
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Focusing on the social foundations of higher cognitive abilities such as language, problem-solving, reasoning, decision-making, and creative thinking
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Exploring how these models can be applied to the study and understanding of human psychopathology.
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Graduate Student Researcher, C.R.E.A.M Lab
UC Berkeley, Department of Psychology
Principal Investigator: Dr. Keanan Joyner, PhD
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Applying NLP algorithms to uncover the multilingual understanding of individual differences in alcohol and cannabis related behaviors.
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Using neuroscientific methods (primarily electroencephalogram/event-related potentials [EEG/ERPs]), ambulatory assessment techniques (such as ecological momentary assessment), biometric (behavioral genetic) analyses, and a variety of computational and statistical methods (like machine learning algorithms, longitudinal multilevel modeling, Bayesian) to study the eitology of substance use disorders across time (both within- and between-individuals).
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Graduate Student Instructor, Methods for Research in Psychological Science
UC Berkeley, Department of Psychology
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Teaching 40 honors students on statistical and data science methods used for psychological science. Topics include: regression, Bayesian inference, multilevel modeling, machine learning
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Working alongside Dr. Keanan Joyner to prepare classes in addition to leading lab sections.
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Graduate Research Assistant, Cham Lab
Fordham University, Department of Psychology
Principal Investigator: Dr. Hei Ning Cham, PhD
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Project leader in charge of organizing, managing, cleaning, and analyzing departmental data for administrative and strategic planning purposes. Lab with 6 people.
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Author of a proposal for the Department of Psychology and Fordham’s Graduate School of Arts and Sciences based on the results of the analysis.
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Graduate Research Assistant, Bronx Personality Lab
Fordham University, Department of Psychology
Principal Investigator: Dr. Christopher Conway, PhD
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Coordinate multiple projects studying the relationship between individual differences and mental health outcomes in moment-by-moment basis using various forms of ecological momentary assessment (EMA).
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Develop new studies including study design, grant development, and submission, protocol and manual creations.
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Run advanced quantitative analyses for various projects including SEM and longitudinal SEM.
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Work on a thesis project for the completion of a Master’s of Science, using exploratory structural equation modeling to look at the relationship between various individual differences.
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Disseminate data at in various means including papers, posters, and conference presentations.
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Coordinate and mentor undergraduate research assistants on multiple projects.
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Clinical Research Coordinator, Mood and Personality Disorders Lab
Icahn School of Medicine at Mount Sinai, Department of Psychiatry
Principal Investigator: Dr. Harold W. Koenigsberg, MD
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Coordinated and managed multiple behavioral and clinical trials including multiple NIMH R01s furthering the understanding and treatment of personality disorders and affective instability.
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Experience with multidisciplinary methods including self-report, ecological momentary assessment (time series analysis), fMRI, eye-tracking, galvanic skin response, oxytocin administration, and behavioral tasks.
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Worked on developing a new study from raw idea to institutional approval and eventual NIMH R61/R33 funding. Involved in study design, protocol development in addition to grant development and submission.
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Managed database numerous studies which included behavioral, fMRI, and physiological data.
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Coded behavioral stimuli on e-prime used to train participants for tasks.
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Clinical experience running phone and in-person interviews, and conducting study visits and administering measures.
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Regular reporting to the Mount Sinai and James J. Petters Bronx VA IRB committees, the FDA, and the NIMH.
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Reporting, analyzing, and communicating results via conference posters and papers.
Fellowships & Awards
D-Lab Data Science Fellowship 2023-2024
Chancellor's Fellowship 2022-2023
HiTop Trainee Award 2022
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