Angel Wei Huang, PhD
AI Health Fellow at Duke AI Health- Claim this Profile
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Mandarin Native or bilingual proficiency
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English Professional working proficiency
Topline Score
Bio
Flavio Frohlich
I had the great fortunate of mentoring Dr. Huang during her time as a graduate student at UNC. Angel is a researcher of extraordinary skills and commitment. In our group, she performed several scientific projects on the mechanism of action of brain stimulation that I consider to be seminal studies. Angel is highly trained and expert in complex signal processing, machine learning, and scientific computing. She excelled through her initiative, independence. and intelligence. She is a natural leader as evidenced by her successful mentoring of a number of more junior students and technicians. I cannot imagine a task too challenging for her. Any employer would be lucky to have her on their team. Angel has my highest and most enthusiastic recommendation!
Charles Zhou
I closely mentored Angel as a senior graduate student when she was a 1st year graduate student. In summary Angel surpassed me in almost every major fashion, which is a delight for a mentor. She was able to quickly ascertain a deep understanding of my analysis code and integrate novel technologies to enhance the code functionalities. She was able to efficiently and concisely explain complex machine learning concepts that she incorporated into her analyses to aid the understanding of the whole research group. Her managerial skills impressed me when she was able to successfully hire and manage multiple undergraduate researchers to enrich her research. And finally, she has a strong ability to see through the completion of multi-scale (long-term and short-term) projects, which is a highly valuable skill for any high-profile company repertoire. For example, Angel consistently delivered on monthly 1-hour presentations detailing her project progress, and she successfully completed and published a 3+ year scientific project. Angel would be an indispensable asset to any fortunate company/group.
Flavio Frohlich
I had the great fortunate of mentoring Dr. Huang during her time as a graduate student at UNC. Angel is a researcher of extraordinary skills and commitment. In our group, she performed several scientific projects on the mechanism of action of brain stimulation that I consider to be seminal studies. Angel is highly trained and expert in complex signal processing, machine learning, and scientific computing. She excelled through her initiative, independence. and intelligence. She is a natural leader as evidenced by her successful mentoring of a number of more junior students and technicians. I cannot imagine a task too challenging for her. Any employer would be lucky to have her on their team. Angel has my highest and most enthusiastic recommendation!
Charles Zhou
I closely mentored Angel as a senior graduate student when she was a 1st year graduate student. In summary Angel surpassed me in almost every major fashion, which is a delight for a mentor. She was able to quickly ascertain a deep understanding of my analysis code and integrate novel technologies to enhance the code functionalities. She was able to efficiently and concisely explain complex machine learning concepts that she incorporated into her analyses to aid the understanding of the whole research group. Her managerial skills impressed me when she was able to successfully hire and manage multiple undergraduate researchers to enrich her research. And finally, she has a strong ability to see through the completion of multi-scale (long-term and short-term) projects, which is a highly valuable skill for any high-profile company repertoire. For example, Angel consistently delivered on monthly 1-hour presentations detailing her project progress, and she successfully completed and published a 3+ year scientific project. Angel would be an indispensable asset to any fortunate company/group.
Flavio Frohlich
I had the great fortunate of mentoring Dr. Huang during her time as a graduate student at UNC. Angel is a researcher of extraordinary skills and commitment. In our group, she performed several scientific projects on the mechanism of action of brain stimulation that I consider to be seminal studies. Angel is highly trained and expert in complex signal processing, machine learning, and scientific computing. She excelled through her initiative, independence. and intelligence. She is a natural leader as evidenced by her successful mentoring of a number of more junior students and technicians. I cannot imagine a task too challenging for her. Any employer would be lucky to have her on their team. Angel has my highest and most enthusiastic recommendation!
Charles Zhou
I closely mentored Angel as a senior graduate student when she was a 1st year graduate student. In summary Angel surpassed me in almost every major fashion, which is a delight for a mentor. She was able to quickly ascertain a deep understanding of my analysis code and integrate novel technologies to enhance the code functionalities. She was able to efficiently and concisely explain complex machine learning concepts that she incorporated into her analyses to aid the understanding of the whole research group. Her managerial skills impressed me when she was able to successfully hire and manage multiple undergraduate researchers to enrich her research. And finally, she has a strong ability to see through the completion of multi-scale (long-term and short-term) projects, which is a highly valuable skill for any high-profile company repertoire. For example, Angel consistently delivered on monthly 1-hour presentations detailing her project progress, and she successfully completed and published a 3+ year scientific project. Angel would be an indispensable asset to any fortunate company/group.
Flavio Frohlich
I had the great fortunate of mentoring Dr. Huang during her time as a graduate student at UNC. Angel is a researcher of extraordinary skills and commitment. In our group, she performed several scientific projects on the mechanism of action of brain stimulation that I consider to be seminal studies. Angel is highly trained and expert in complex signal processing, machine learning, and scientific computing. She excelled through her initiative, independence. and intelligence. She is a natural leader as evidenced by her successful mentoring of a number of more junior students and technicians. I cannot imagine a task too challenging for her. Any employer would be lucky to have her on their team. Angel has my highest and most enthusiastic recommendation!
Charles Zhou
I closely mentored Angel as a senior graduate student when she was a 1st year graduate student. In summary Angel surpassed me in almost every major fashion, which is a delight for a mentor. She was able to quickly ascertain a deep understanding of my analysis code and integrate novel technologies to enhance the code functionalities. She was able to efficiently and concisely explain complex machine learning concepts that she incorporated into her analyses to aid the understanding of the whole research group. Her managerial skills impressed me when she was able to successfully hire and manage multiple undergraduate researchers to enrich her research. And finally, she has a strong ability to see through the completion of multi-scale (long-term and short-term) projects, which is a highly valuable skill for any high-profile company repertoire. For example, Angel consistently delivered on monthly 1-hour presentations detailing her project progress, and she successfully completed and published a 3+ year scientific project. Angel would be an indispensable asset to any fortunate company/group.
Credentials
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Medical Emergencies: Airway, Breathing, and Circulation
CourseraMay, 2021- Nov, 2024 -
Causal Diagrams: Draw Your Assumptions Before Your Conclusions
HarvardXMar, 2020- Nov, 2024 -
EMT Foundations
CourseraJan, 2020- Nov, 2024 -
Improving your statistical inferences
CourseraAug, 2019- Nov, 2024 -
Version Control with Git
CourseraJul, 2018- Nov, 2024 -
Deep Learning Specialization
CourseraJun, 2018- Nov, 2024 -
Sequence Models
CourseraJun, 2018- Nov, 2024 -
Convolutional Neural Networks
CourseraMay, 2018- Nov, 2024 -
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraJan, 2018- Nov, 2024 -
Structuring Machine Learning Projects
CourseraDec, 2017- Nov, 2024 -
Neural Networks and Deep Learning
CourseraNov, 2017- Nov, 2024 -
Designing, Running, and Analyzing Experiments
CourseraJul, 2017- Nov, 2024 -
First Aid Qualification of The Red Cross
The Red Cross, China
Experience
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Duke AI Health
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United States
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Hospitals and Health Care
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1 - 100 Employee
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AI Health Fellow
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Aug 2022 - Present
Building advanced machine learning models to improve the early diagnosis of autism and healthcare equity. Building advanced machine learning models to improve the early diagnosis of autism and healthcare equity.
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OpenCreditLabs
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Raleigh-Durham-Chapel Hill Area
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Cofounder and Research Scientist
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Sep 2021 - Present
• Performed research on combining causal inference and machine learning to improve the fairness and transparency of the algorithms • Performed research on combining causal inference and machine learning to improve the fairness and transparency of the algorithms
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University of North Carolina at Chapel Hill
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United States
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Higher Education
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700 & Above Employee
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Graduate Researcher
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Aug 2016 - Aug 2022
• Analyzed large brain and behavioral datasets and discovered causal role of thalamo-cortical synchronizations to improve visual sustained attention • Researched the effect of multi-site electric brain stimulation on working memory by electrocorticographic (ECoG) recording in patients with drug-resistant epilepsy • Researched neuronal mechanisms of visual processing, sustained attention, and brain stimulation using multi-site extracellular electrophysiology and optogenetics in animal models • Performed code randomization and stimulation waveform validation for multiple clinical trials (e.g. using alternating current stimulation to reduce auditory hallucinations and depression) • Analytical skills applied: experimental design, time-series analysis, signal processing, spectral analysis, supervised and unsupervised machine learning, statistical testing, parallel and cluster computing, and computational modeling Show less
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Deep Learning Trainee and Project Coordinator
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Aug 2021 - Aug 2021
• Completed deep learning training using Python and Google Colab, applying CNN, RNN, Transformers, Attention on sequential data, VAE, GAN, RL, and transfer learning • Coordinated a group of four researchers in a project to visualize the feature-selectivity in artificial neural networks (AlexNet and VGG16) and evaluated their similarity to the human visual pathway • Applied feature visualization techniques (weight visualization, layer output visualization, saliency heatmap with smoothGrad, occlusion) and compared results on different CNNs. • Performed dimensionality reduction on unit activation using PCA and built a linear model to predict brain voxel activations (from fMRI scan) • Applied DeepDream to visualize the patterns learned by the units in the CNN, as well as the patterns that maximally activate the voxel in different brain regions Show less
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Office of Institutional Research and Assessment, UNC at Chapel Hill
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Chapel Hill, North Carolina, United States
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Lead Machine Learning Consultant
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Oct 2020 - Jan 2021
• Implemented Generalized Linear Models (GLM) and Decision Trees to identify the key factors and interactions that impact student retention at UNC • Provided detailed explanation with graphical presentation on how each factor or their interactions affect student retention • Led a group of five statistics graduate students to conduct the analysis and draft the report “Will They Come Back? – An Interpretable Model for Student Retention at UNC” • Implemented Generalized Linear Models (GLM) and Decision Trees to identify the key factors and interactions that impact student retention at UNC • Provided detailed explanation with graphical presentation on how each factor or their interactions affect student retention • Led a group of five statistics graduate students to conduct the analysis and draft the report “Will They Come Back? – An Interpretable Model for Student Retention at UNC”
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Kitware Inc.
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United States
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Software Development
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100 - 200 Employee
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Machine Learning Consultant
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Sep 2020 - Jan 2021
• Performed functional data analysis on dental data derived from micro-computed tomography (micro-CT) and cone-beam computed tomography (CBCT) scans to differentiate cracked versus healthy teeth • Discovered that one imaging method is superior than the other in differentiating the two types of teeth using principal component analysis (PCA), marginal distribution plots, distance-weighted discrimination (DWD) and tested its statistical significance using direction-projection-permutation (DiProPerm) test • Co-authored research paper “Dental microfracture detection using wavelet features and machine learning” Show less
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Computational Neuroscience Trainee and Project Leader
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Jul 2020 - Jul 2020
• Completed computational neuroscience training using Python and Google Colab, applying ML (GLM, dimensionality reduction, Bayesian, optimal control, reinforcement learning, network causality, deep learning) to neuroscience data • Led a group of four researchers in a project to decode movement from brain-wide signals • Implemented dimensionality reduction techniques (PCA, tSNE, recursive feature elimination with cross-validation (RFECV)) and classification algorithms (Logistic Regression, SVM, LDA) to identify spectrogram features that can be reduced without loss of accuracy in the decoding of movement decisions • Presented the final report to mentors and other trainees Show less
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Northwestern University - The Feinberg School of Medicine
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United States
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Higher Education
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700 & Above Employee
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Research Assistant at Cognitive Neurology and Alzheimer's Disease Center
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Aug 2014 - Jun 2016
• Co-authored research paper and poster on how comprehension deficits in Primary Progressive Aphasia patients affect their verbally-cued visual search • Conducted eye-tracking experiments on aphasia patients and controls • Programmed and helped design a new set of computer-based eye-tracking experiments • Programmed Eyelink, SPSS and Matlab to analyze and present eye-movement data; discovered “relatedness effect” in taxonomically-related-object viewing • Co-authored research paper and poster on how comprehension deficits in Primary Progressive Aphasia patients affect their verbally-cued visual search • Conducted eye-tracking experiments on aphasia patients and controls • Programmed and helped design a new set of computer-based eye-tracking experiments • Programmed Eyelink, SPSS and Matlab to analyze and present eye-movement data; discovered “relatedness effect” in taxonomically-related-object viewing
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NYU Center for Neural Science
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New York, New York, United States
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Research Assistant
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Jan 2014 - May 2014
• Assisted research on the effects of activity-based anorexia on synaptic plasticity in the hippocampus of rats under different diet and exercise levels • Applied techniques such as brain tissue sectioning, Golgi Staining, Light Microscopy, Neurolucida neuron tracing and tissue processing for Electron Microscopy to determine structural changes of neurons in the hippocampal CA1 of rats • Assisted research on the effects of activity-based anorexia on synaptic plasticity in the hippocampus of rats under different diet and exercise levels • Applied techniques such as brain tissue sectioning, Golgi Staining, Light Microscopy, Neurolucida neuron tracing and tissue processing for Electron Microscopy to determine structural changes of neurons in the hippocampal CA1 of rats
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NYU Langone Health
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United States
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Hospitals and Health Care
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700 & Above Employee
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Infection Prevention and Control Intern
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Mar 2013 - Sep 2013
• Processed and analyzed large hospital datasets of infections by highly antibiotic-resistant bacteria to identify potential causal relationships using survival analysis and SPSS software; recommended changes in infection prevention and control policies in the hospital • Drafted and presented surveillance report on Carbapenem-resistant K. pneumoniae at monthly antimicrobial meeting to physicians, pharmacists, and other medical care personnel • Developed toolbox and handbook for generating standardized data analysis tables and graphs, which have been used in meeting presentations and the annual report Show less
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iJoin Social Innovation Fellowship
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Beijing City, China
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Consultant
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Feb 2013 - Sep 2013
• Conducted research and interviews on American social enterprises serving/ hiring people with autism. • Drafted report based on research and interview results as a part of business guidelines for Chinese start-up social enterprises interested in working with autistic people. • Conducted research and interviews on American social enterprises serving/ hiring people with autism. • Drafted report based on research and interview results as a part of business guidelines for Chinese start-up social enterprises interested in working with autistic people.
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McKinsey & Company
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Business Consulting and Services
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700 & Above Employee
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Research & Strategic Engagement Assistant
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Feb 2012 - May 2012
• Researched and drafted portion of a report submitted to the premier of the state council of China about how China can address migrant worker issues by learning from other countries' experience • Translated and compiled materials and some policy documents summing up international experiences for a project on China’s urbanization indicators system • Dealed with internal and external documents, including drafting news release, translating news stories, designing quarterly newsletters, translating / rewriting presentation Powerpoints, managing visual materials of Urban China Initiative events and so on Show less
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Right To Play
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Canada
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Non-profit Organization Management
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500 - 600 Employee
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Project Monitoring and Evaluation Coordinator
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Nov 2011 - May 2012
Hand in Hand Project of RTP provides hardware equipment as well as advanced teaching methodology to kindergartens in national poor countries, including sections of training of trainers, parents and nurses • Designed interview questionnaires and daily feedback form to show the influence all possible factors have on project achievement and developed a supervising toolkit package • Took charge of daily feedback collection and report preparation with average 5 pages every day to adjust training content and form in time to improve training effectiveness Show less
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Beijing Normal University Child Welfare Research Center
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Beijing, China
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Research Assistant
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Dec 2010 - Mar 2012
• Drafted book chapter funded by the Chinese government on the living conditions and the social support needs of families with children who have Autism Spectrum Disorder (ASD) • Recruited, conducted interviews and analyzed data of 546 ASD affected families • Initiated the first national conference for affected families and supporting organizations in China • Drafted book chapter funded by the Chinese government on the living conditions and the social support needs of families with children who have Autism Spectrum Disorder (ASD) • Recruited, conducted interviews and analyzed data of 546 ASD affected families • Initiated the first national conference for affected families and supporting organizations in China
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Renmin University of China
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China
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Higher Education
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700 & Above Employee
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Vice Project Manager
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Sep 2010 - Mar 2012
“Yizu” stands for “the university graduates with low-income and unstable job who live in clusters in shabby houses”. • Established methodology for the research project: interviewing, investigating and documenting and interviewed Professor Lian Si, the originator of the study on Yizu, as our faculty advisor • Conducted more than 60 in-depth interviews in 4 villages in this research on Yizu in China • Constructed a multiple-regression model and designed a cross-reference form for analysis of questionnaire data Show less
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iJoin Social Innovation Fellowship
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Beijing, China
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Consultant
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Jun 2011 - Sep 2011
• Researched and analyzed on operating model, curriculum design, employee training and evaluation methodology of educational NGOs through desk-top research, interview and benchmarking, analyzed cooperation opportunity for an educational NGO client. • Provided strategic consulting for a silicon-valley-based educational foundation based on research of the use of tablet PC in education in China. • Promoted a long-term cooperation for the foundation and a Chinese academy on rural education. • Researched and analyzed on operating model, curriculum design, employee training and evaluation methodology of educational NGOs through desk-top research, interview and benchmarking, analyzed cooperation opportunity for an educational NGO client. • Provided strategic consulting for a silicon-valley-based educational foundation based on research of the use of tablet PC in education in China. • Promoted a long-term cooperation for the foundation and a Chinese academy on rural education.
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Stanford University
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United States
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Higher Education
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700 & Above Employee
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Research Fellow of International Cross-cultural Educational Project
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Sep 2010 - Jan 2011
• Assessed learning competencies among 3rd-grade students in migrant schools in Beijing through randomized controlled experiments, using longitudinal data comparison • Collected data on the effectiveness of Computer Assisted Learning in raising the performance of rural students who lack educational resources • Assessed learning competencies among 3rd-grade students in migrant schools in Beijing through randomized controlled experiments, using longitudinal data comparison • Collected data on the effectiveness of Computer Assisted Learning in raising the performance of rural students who lack educational resources
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Enactus United States
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United States
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Non-profit Organizations
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1 - 100 Employee
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President Assistant & Project Manager
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Nov 2008 - Sep 2010
• Managed the project “Let Art Talk” which helped talent artists to share their ideas behind paintings with the public and provided opportunities of participating in exhibition. Presented in the annual SIFE competition in a team and won 2nd prize in national round. • Led a team to visit 30 people, including artists, exhibition directors, art masters, and professional teachers, and invited 13 cooperating artists and 3 professional faculty advisers. • Be selected as the only delegate (1/90) of SIFE of Renmin University of China to participate in SIFE world cup held in Berlin, Germany. Shared project experience with competitors and senior managers from business worldwide. Show less
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Education
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2016 - 2021
University of North Carolina at Chapel Hill
Doctor of Philosophy (PhD), Neurobiology and Behavior -
2014 - 2015
Northwestern University
Post-baccalaureate, Biological Sciences -
2012 - 2014
NYU
Master of Public Administration (MPA), Public and Nonprofit Management and Policy -
2008 - 2012
Renmin University of China
BA, Economics
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