Andrew Collegio

User Reasercher

Google | Fitbit

Technologies

My Portfolio Highlights

My New Course

Introduction to R

My New Course

Introduction to R

Analytical virtuoso, transforming data noise into harmonious insights.

My Work

Take a look at my latest work.

course

Introduction to the Tidyverse

course

Introduction to R

course

Introduction to the Tidyverse

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to R

Introduction to the Tidyverse

Courses

Introduction to R

Introduction to the Tidyverse

My Work Experience

Where I've interned and worked during my career.

Google | May 2022 - Present

UX Researcher

N/A

Bose Corporation | May 2019 - May 2022

Senior User Researcher

• Conduct product-focused user research for innovative consumer electronics and sleep wellness/health products, leveraging both quantitative and qualitative research methods and data analysis to provide clear insight and direction for product design • Collaborate closely with a cross-functional team of engineers, designers, and product managers to conduct software, hardware, and biometric sensor validation studies in order to ensure efficacy of products in development • Plan, execute, and analyze large-scale consumer-facing surveys to gauge consumer opinion about product design and appeal • Lead moderated interview sessions and A/B prototype tests focused on multiple aspects of wearable hardware products, including comfort and stability, out-of-box experience, envisioned use-case scenarios, and product functionality • Recruit participants for upcoming studies, design user-facing manuals and experimenter guides for empirical lab and field studies, and develop and present reports on project findings to key stakeholders

Battelle | Dec 2018 - May 2019

Human Factors Engineer

N/A

The George Washington University | Aug 2013 - May 2019

Graduate Researcher

Research focus: Neural and behavioral mechanisms of human attention, vision, and sensory uncertainty • Research, develop, and test novel hypotheses in vision science, and conceptualize, code, and execute behavioral and neuroimaging experiments and surveys for data collection using Python (PsychoPy), MATLAB (Psychtoolbox), and E-Prime • Efficiently perform quantitative data analysis using multiple statistical tools (ANOVA, Regression, Bayes), and develop performance-based assessment of visual attention behavior using participant data from computerized experiments • Effectively summarize and present findings for broader audience at major research conferences, including 10 presentations at annual Vision Sciences Society, Psychonomic Society, and Society for Neuroscience meetings, in oral and written format. • Collaborate often with other lab and department members on a range of projects presented at several major conferences, demonstrating ability to spearhead a team effort and work effectively in a group as a team player • Assist in mentoring and training junior graduate students and undergraduate research assistants, assisting in lab and research protocols, experimental design and methodologies, and data collection • Contributed to peer-review and critical manuscript analysis for a range of journals both independently and under the guidance of advisor, Dr. Sarah Shomstein

The George Washington University | Aug 2013 - May 2018

Graduate Teaching Assistant

• Mentored and assisted students in understanding complex theories of cognitive neuroscience and biological psychology • Graded exams, research articles, and lab assignments for each course in which served as TA • Delivered numerous lectures in Biological Psychology and Cognitive Neuroscience courses, and taught lab section in Sensation and Perception course, teaching statistical analysis and experimental design skills to undergraduate students, as well as leading the class in development of group projects, data collection, and data analysis • Served as the liaison to undergraduate students for Psych Dept. research subject pool. Managed subject pool database and maintained correspondence with research participants regarding subject pool participation and research credit attainment

My Education

Take a look at my formal education

Doctor of Philosophy - PhD, Cognitive Neuroscience/ PsychologyThe George Washington University | 2018

Master of Philosophy - MPhil, PsychologyThe George Washington University | 2018

Bachelor of Science, NeuroscienceBucknell University | 2013

About Me

I am a Mixed Methods UX Reesarcher | I leverage data and empathy to build more intuitive products, wearables, and services. I am developing my coding skills to improve my quantitative skillset.

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