Michael Chen

Research Associate

Aerotropolis Business Concepts LLC•  July 2015 - May 2022

Research and consulting firm specializing in airport city and aerotropolis planning and development • Research and write about airport cities and the aerotropolis model and strategy. • Design slides for 50+ international presentations on aerotropolis concepts to date. • Co-authored an 85-page research report (https://doi.org/10.17615/kkqc-dx64) on the Incheon Aerotropolis. • Created content for ~50% of the cases in Airport City and Aerotropolis Development (forthcoming). • Collaborated with the Canadian Urban Institute for a report on a potential Toronto East Aerotropolis. • 2020 Oct: Airport Design, Construction and Operations conference | Moscow (https://doi.org/10.17615/Z5TA-5P14) • 2019 Apr: SKYSERVICE conference | Moscow (https://doi.org/10.17615/5HB2-QF70)

Executive Assistant

Aerotropolis Institute China•  August 2017 - May 2022

Think tank and consulting firm for research and training in urban economic development of airports and airport cities • Liaise with staff in China and support the multinational Advisory Panel. • Troubleshoot operating system issues, make purchase recommendations for information and communications technology, and provide technical support. • Proofread, copyedit, fact check, verify citations, and normalize formatting for dozens of manuscripts.

Business Operations Records Liaison

US department of Veterans Affairs•  June 2017 - August 2017

Human Capital Systems and Services Office of the Veterans Health Administration • Shadowed web programmers in a C#/.NET agile (Scrum) development environment. • Developed standard operating procedures for records management according to federal control schedules and disposition guidelines during the transition to electronic document management. • Earned a Certificate of Appreciation for outstanding service on the Knowledge Management team.

Graduate Research Assistant: Data Scientist

UNC Center for Community Capital•  July 2015 - August 2016

Multidisciplinary research center affiliated with the University of North Carolina at Chapel Hill's Center for Urban and Regional Studies • Coded data validation controls in Python for the public-use dataset of a longitudinal survey spanning 12 years and enforced schema and attribute domain constraints with SQL and SAS programming to improve data integrity.

Bioinformatics Research Assistant

UNC Lineberger Comprehensive Cancer Center•  November 2013 - July 2014

Virology laboratory in the Department of Microbiology and Immunology researching Kaposi’s sarcoma-associated herpesvirus oncogenesis • Supported bioinformatics research activities as part of a four-member vironomics team. • Authored Python scripts to delete DNA annotations from high-throughput polymerase chain reaction for downstream analysis with CLC Genomics Workbench, eliminating hours of manual inspection. • Poster presentation (https://doi.org/10.17615/YFFG-4Y80) at the Virginia Regional Herpesvirus Symposium (2014 Apr) • Journal article (https://doi.org/10.1128/genomea.00928-14) in Genome Announcements (2014)

Springboard

Machine Learning Engineering, certification•  January 2021 - February 2022

• Mastered technologies and methods in the machine learning engineering stack through 600+ hours of practical curriculum with 1:1 expert oversight and industry mentorship. Capstone project: Multilingual Speech Valence Classifier (https://bit.ly/MSVC_app) • Responsive web app that detects the emotional valence of a human vocal utterance • Technologies: FFmpeg, FRILL, librosa, Matplotlib, NumPy, Pandas, Pydub, pytest, scikit-learn, SciPy, Seaborn, Streamlit, swifter, TensorFlow, torchaudio, Travis CI, WebRTC, Windows Subsystem for Linux • Curated 71.8 hours of speech audio from 27 data sources in 9 different languages. • Trained a stacked passthrough ensemble of a ridge classifier and a bagged Gaussian Naive Bayes classifier with a logistic regression as the meta-estimator on custom features engineered from non-semantic embeddings Topics covered in exercises and mini-projects included the following: • artificial neural network architectures, building and deploying production-level AI systems to the cloud at scale, Computer Vision techniques, customer segmentation using clustering, data storytelling, data wrangling and SQL at scale with Spark, Natural Language Processing techniques, recommender systems, time series forecasting, training deep learning networks

University of North Carolina at Chapel Hill

Information Science, MS•  April 2014 - August 2016

• American Society for Information Science & Technology (Treasurer) • Comprehensive examination (cumulative) and thesis (https://doi.org/10.17615/z0nr-nz77) • Conference presentation (https://doi.org/10.17615/JK3B-2J35) at the North Carolina Healthcare Information Communications Alliance Conference and Exhibition (2015 Sep) • Kalp Fellow

University of North Carolina at Chapel Hill

Psychology, Linguistics, Cognitive Science, BS•  August 2009 - August 2013

• Dean’s List (3 terms); IBM Watson Memorial Scholar; National Merit Scholar • Research assistantship in developmental sociolinguistics lab (2011—2013) • Research assistantship in psycholinguistics lab (2012)