• Lead teams of engineers on execution of internal and external research projects• Communicate program goals, progress, and outcomes to internal and external customers• Author project proposals for external funding of multi-year, innovative research programs• Contribute to the development of technical status reports, project schedules, and other deliverables• Mentor junior scientists on team-based research and technical program logistics

• constructed targeted datasets for Large Language Model supervised fine tuning, in-context learning, and evaluation• developed Python workflows to automatically identify and correct annotation errors in model training and test sets• applied NLP techniques to develop dozens of new customer-facing features and improvements• balanced competing business, product, and user constraints to gather consensus among cross functional teams on the optimal solutions to business problems• distilled complex data into technical reports and metrics to drive decision-making across multiple teams

• developed and deployed instructional materials and assessment tools for 3 novel courses on Psycholinguistics, Endangered Languages, and Writing• conducted one-on-one mentoring, created targeted assessment materials, and led group instructional sessions for students in 7 courses covering Linguistics, Phonetics, and Quantitative Methods/Statistics(example material outcomes: https://github.com/EricWilbanks/quant_methods_linguistics)• received recognition for excellence in instruction via the 2022 UC Berkeley Outstanding Graduate Student Instructor Award (awarded to top 10% of instructors)

• planned and executed long-term original research study on speech perception with over 1,000 participants using Amazon Mechanical Turk and in-person laboratory experiments• crafted a successful NSF research grant proposal ($8,000) to design and conduct remote behavioralexperiments and laboratory eye-tracking studies• performed data analysis and visualization in Python and R, implementing and evaluating hierarchical Bayesian and generalized additive statistical model to generate insights and test hypotheses• developed novel Python package for command line automatic text-to-phoneme alignment for Spanish speech data, including training HMM speech recognition models, writing user-facing documentation, and continued feature development and maintenance (https://fasealign.readthedocs.io)• directly mentored 11 undergraduate research assistants in team-based research, annotation schemes, experimental design, data visualization, and data analysis (R and Python)• organized and led technical workshops on topics such as Twitter data analysis in Python, forced alignment for speech data, and clustering algorithms (https://ericwilbanks.github.io/#workshops)• communicated experimental results to wider scientific audience through conference presentations, publications, and dissertation (http://ericwilbanks.github.io/files/wilbanks_cv.pdf)

• crafted solutions for researchers’ high-performance-computing, parallelization, and research data management problems through direct consulting meetings• collaborated closely with a team from diverse technical and research backgrounds to understand users’workflows, needs, and constraints• triaged, tested, and deployed debugging solutions based on users’ help requests• maintained and improved user-facing documentation for cluster-computing resources

• developed data-processing and data cleaning pipelines for a corpus of hundreds of hours of spontaneous sociolinguistic interviews and associated transcriptions• conducted statistical analyses of patterns of community-level sound change using Python and R, culminating in a Master’s thesis and academic publication• designed experimental materials, pre-processing pipelines, and statistical analyses for phonetic laboratory studies of time-varying acoustic and video speech data, resulting in 4 scientific publications and presentations