Amanda (Tilot) Komuro Email and Phone Number

• Performed analytics and modeling for performance/mass media marketing andgame teams• Applied LTV models to predict months required to reach full return on ad spendbased on early in-app purchases/ad revenue; derived performance targets• Created process for reproducibly generating monthly marketing reports used byC-level executives, summarizing up to two years of KPIs for each marketing channel (more than 15 by mid-2021, ranging from Facebook Ads to television) in monthly cohorts• Analyzed a player survey about media consumption habits to clarify chicken-and-egg questions about our players’ music tastes and reveal historically overlooked regions where players are just as excited about our lead game• Performed time-series modeling to quantify how fluctuations in daily marketing spend across channels and other factors impact daily installs and active users• Analyzed AB tests and wrote extensive player behavior reports (including retention, churn, in-game activity, monetization) for the Best Fiends mobile game• Developed an internal R package, RMarkdown template, and sample size estimation tool to facilitate AB test planning and analysis by business analysts

• Acted as lead researcher on a multinational collaboration to study human brain evolution using neuroimaging and genetic data from over 30,000 participants• Modeled aggregate genetic risk for neuropsychiatric disorders in individuals with synesthesia, including feature selection/design and case/control matching via PCA for three separate cohorts (25,000 participants)• Wrote reusable analysis code (R, Python, bash) and Markdown reports that enabled smooth communication and project transitions with collaborators in the US and Europe• Provided genetics expertise for neuroimaging projects within the department• Guest editor for an upcoming special issue of Philosophical Transactions of the Royal Society, B• Relevant technical skills: R, Markdown, Python, bash, regression modeling, dimensionality reduction, descriptive and inferential statistics, data visualization, Git

• Developed "Can I say that?", a Flask-based web app to determine if a user’s message achieves their desired professional tone and provide tailored feedback • Created a custom corpus of >28,000 documents from dissertations, government reports, blog posts, and forums, engineering >10 features to capture writing style• Trained and validated XGBoost model, achieving 78% accuracy across 5 classes• Relevant technical skills: Python (Scikit-learn, pandas, Flask), machine learning, dimensionality reduction, data visualization, Git

• Identified rare genetic variants in families who experience colors when listening to music, providing the first true candidate genes for synaesthesia• Managed recruitment and DNA sampling for a new cohort of individuals with synesthesia, with samples arriving from >30 countries• Led research within the ENIGMA Consortium’s Evolution Working Group, examining evidence for how the last 30 million years of human evolution continues to influence brain shape• Marie Skłodowska-Curie Actions Individual Fellowship (European Commission), 2016-2018 • Relevant technical skills: R, Markdown, Python, bash, SQL queries, regression modeling, descriptive and inferential statistics, data visualization, Git, whole genome and whole exome sequencing analysis, bioinformatics

• Designed and executed behavioral, cellular, and RNA-sequencing experiments to study impact of PTEN gene mutations• Collaborated with oncologists, psychologists, and genetic counselors to relate my experimental data to clinical features of patients with PTEN gene mutations• Mentored incoming graduate students and spoke on reproducible research• Responsible for writing animal care and use protocols, staying compliant with institutional and federal guidelines• Relevant technical skills: R, descriptive and inferential statistics, data visualization, RNA sequencing analysis, bioinformatics

Project: Investigating the stem biology of extraembryonic endoderm cells - generation of reporters for live imaging

Project: Chaperone rescue of protein aggregation in inflammation associated neurodegeneration