Amber Tan Email & Phone Number

Pittsburgh, Pennsylvania, United States

Pittsburgh Girls Study-Environmental Influences on Health Outcomes (PGS-ECHO) Principal Investigators: Alison Hipwell, Ph.D., ClinPsyD; Kate Keenan, Ph.D.; Irene Tung, Ph.D.Psychophysiology Team Lead. - Spearheaded data quality projects using R, SPSS, and Mindware software, resulting in an updated 112-page heart rate variability (HRV) and electrodermal activity (EDA) data cleaning protocol. This protocol has been shared with Pitt Psychiatry and UChicago labs to increase data cleaning transparency in the psychophysiology field. - Created tables and figures using R to present best data cleaning practices to PIs and HRV & EDA experts. Such infographics have been used in the lab's multi-million-dollar grant proposals. - Facilitated meetings with the PGS-ECHO Data Team to troubleshoot and create user-friendly SPSS data reliability scripts. - Ran monthly reliability reports and pulled reliability files via SPSS. - Trained new research associates on collecting and cleaning adult, child, and infant HRV and EDA data. Functional Near Infrared Spectroscopy (fNIRS) Team Lead. - Used Matlab to generate data quality reports for fNIRS consultants and PIs.- Exported and managed fNIRS data via Teams, OneDrive, and Excel.- Trained research associates on collecting infant fNIRS data and developed an associated fNIRs training manual. - Performed monthly maintenance on fNIRS-related equipment. Movisens (mobile device used to collect HRV data) Lead Data Manager. - Used R and Movisens Data Analyzer software to analyze data quality differences between lab and home visits to PIs.- Prepped and edited raw HRV Movisens data for data analyses. - Troublehshooted data quality issues and updated training manuals for best data collection practices.

Ithaca, New York, United States

Life History Lab Principal Investigators: Marlen Gonzalez, Asst. Prof; Marissa Rice, Ph.DSenior Honor's Thesis - Ran mediation, moderation, and simple slopes analyses via R. - Created tables and figures using R's ggplot2 and sjplot, code that has been repurposed for future lab publications and undergraduate research mentorship. - Cleaned, wrangled, and transformed thesis data in R. Lead Research Assistant for the Neighborhood Project, which investigates how the physical built environment affects behavior, wellbeing, and brain development. - Created a neighborhood virtual auditing platform via Qualtrics, Google Street View, and Google Earth, along with an associated auditing training manual. - Developed novel physical disorder and affordance items for virtual auditing platforms. - Coordinated data collection via Qualtrics and streamlined data cleaning with user-friendly R code. Lead Research Assistant for the Brain in Context Project, which uses combined behavioral and functional magnetic resonance imaging (fMRI) techniques to understand how early developmental contexts calibrate neuroendophenotypes and behavior. - Recruited, screened, and ran college-aged participants in an fMRI machine (BART, Stroop, and Cyberball paradigms). - Researched and incorporated various developmental context measures (e.g. food insecurity, pubertal timing, recent trauma exposure) into centralized Qualtrics questionnaire.- Conducted literature reviews on early life stress and fMRI analyses within the fields of neuroscience, evolutionary biology, and bioanthropology.

Ithaca, New York, United States

General Chemistry I and II Teaching AssistantPrincipal Investigator: Stephen Lee, Prof. - Founder and lecturer of a student-led Chemistry II support program that was created in response to the discontinuation of CHEM 1080, a vital support program for underrepresented minority STEM students. Collaborated with three other experienced Chemistry TAs to develop weekly program curriculum for 15 former PSP chemistry students with exam-level practice problems, lectures, and homework assignments. -Founder and teaching mentor for a one-on-one tutoring program (PIP) that aimed to academically support students who scored a D/F on General Chemistry I's first exam. Matched over 100 General Chemistry I students with 55 tutors, created weekly lesson plans and problems for tutors, and led weekly teaching reflection.-Led and lectured weekly General Chemistry I and II workshops that had over 30 students, created and checked professor exam and workshop answer keys, and hosted both weekly in-person and virtual office hours.

Ithaca, New York, United States

Cornell Chemistry Education ResearchPrincipal investigator: Stephen Lee, Prof. PIP Outcome Project - Developed retrospective qualitative and quantitative surveys capturing student and tutor growth mindset.- Trained and led a 5-person team to review and sort qualitative data for mindset-based themes.- Used R and excel to conduct multiple linear regression analyses to investigate PIP effects on future exam scores. General Chemistry I Canvas Project - Created 2 Canvas learning modules (Balancing Chemical reactions Algebraically and introduction to Molecular Orbital Theory) that has been incorporated into the General Chemistry I curriculum as of 2019 and has since been used by over 3000 chemistry students. Chemistry Presummer Freshman Program (PSP) is a chemistry summer support program for incoming freshmen from underserved high schools. - Conducted multiple linear regression analyses via Excel predicting students' later success in Cornell's STEM courses from PSP participation and grade. Created figures and tables in Excel.On-Ramp Program is a math support program for General Chemistry I students. - Created weekly lesson plans and problem sets that have been used by multiple cohorts of the General Chemistry I's On Ramp Teaching Team since Fall 2019.