Fei Wang Email & Phone Number
Who is Fei Wang? Overview
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Fei Wang is listed as Associate Dean for Data Science and AI at Weill Cornell Medicine, based in New York City Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Fei Wang.
Fei Wang previously worked as Chair of the AI Blue Ribbon Collaborative at Center For Telehealth And Ehealth Law (Ctel) and Member of Research Committee, Generative AI Council at Cornell University. Fei Wang holds Ph.D., Machine Learning & Data Mining from Tsinghua University.
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About Fei Wang
10+ years experience on research for health data science. Familiar with and Well-Experienced with the Following Things:Data Analysis TechnologiesClassic data mining/machine learning algorithms (NN, SVM, Decision Tree, Logistic Regression...) Deep learning approaches (Feed Forward NN, CNN, RNN, GNN...)Graph based learningMatrix and tensor related technologies (Low-Rank Approximation, NMF/NTF, Sparse Learning...) Frequent itemset/pattern mining (APRIORI, PrefixSpan, SPAM...) Large Scale Learning (Stochastic Optimization, Online Learning, Hashing/Indexing...)Similarity/Distance Metric Learning Optimization (Gradient descent, Proximal methods...)Mechanistic models (Differential equation...)Health Informatics:Feature engineering for better analytics with big medical dataSimilarity analytics for personalized medicineCare Coordination and Pathway AnalysisDrug Theraputic Indication/Side-Effect/Interaction Prediction and Association StudyDrug Comparative Effectiveness Research Real-World Evidence for Drug DevelopmentPatient Utilization AnalysisPredictive ModelingRisk Stratification/Cohort AnalysisDisease Progression ModelingDrug Knowledge BaseProgramming Languages:Python, MATLAB, SQL, JAVA, R.Tutorials (send me email if you want any slides):Knowledge and Information Management with Graphs and Matrices. CIKM08, SDM09, ICDM09Distance Metric Learning for Data Mining. SDM12Recent Advances in Applied Matrix Technologies. SDM13Applied Matrix Analytics: Recent Advance and Case Studies. ICDM 2013.Large Scale Similarity Learning and Indexing. CIKM 2013.Feature Engineering in Health Informatics. PAKDD 2014.Data Analytics in Healthcare: Problems, Challenges and Future Directions. CIKM 2014.Data Analytics with Electronic Health Records. AAAI 2015.Deep Learning for Healthcare. CHASE 2017, MedInfo 2017.Learning with networks. KDD 2019.For more details, refer to https://wcm-wanglab.github.io/index.html
Listed skills include Data Mining, Machine Learning, Pattern Recognition, Algorithms, and 32 others.
Fei Wang's current company
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Fei Wang work experience
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Chair Of The Ai Blue Ribbon Collaborative
Current
Member Of Research Committee, Generative Ai Council
CurrentProviding ongoing feedback and input to Cornell leadership and the wider Cornell community around the strategic adoption and impact of generative AI as it enters into the university’s research activities.
Advisor
Current
Data Science Advisory Board
Current
Professor Of Emergency Medicine (Secondary)
Current
Professor Of Population Health Sciences (Tenured, Primary)
Current
Founding Director, Wcm Institute Of Ai For Digital Health (Aidh)
Current
Associate Professor Of Population Health Sciences (Tenured)
2023 Fellow of ACMI
Associate Professor Of Population Health Sciences
2022 Fellow of IASHI2022 ACM Distinguished Member2022 Amazon Machine Learning for Research Award2021 Fellow of AMIA2021 Sanofi iDEA Award2020 Google Faculty Research Award2019 (Inaugural) ICHI Research Leadership Award2019 AWS Machine Learning Research Award
Assistant Professor Of Health Policy And Research
2018 Blue Ribbon Highlights in International Congress on Parkinson's Disease and Movement Disorder2018 NSF CAREER Award2017 AWS Machine Learning Research Award2017 NIPS Challenge on Classifying Actionable Genetic Mutations Winner2016 ICDM Best Paper Runner Up2016 ICHI Best Short Paper2016 Michael J. Fox Foundation PPMI Data Challenge Winner
Adjunct Scientist
Current
Consultant
Research Staff Member
Working on healthcare analytics research, combining data driven analytics and expertise insights to analyze the healthcare data and apply the mined knowledge in risk stratification, predictive modeling, utilization analysis, comparative effectiveness research, disease progression modeling, clinical pathway analysis, etc.IBM 2nd to 10th invention plateausIBM Research Division Award (Twice)IBM Outstanding Technical Achievement Award (OTAA) (Twice)2014 AMIA TBI Nomination for Marco Romani Best Research Paper Award
Medical Advisory Board
Consultant
Associate Professor
SDM 2015 Best Research Paper FinalistICDM 2015 Best Student Paper
Postdoc
Medical Informatics, Social InformaticsSDM 2011 best research paper finalistIBM first invention plateau
Postdoc
Applied statistics, machine learning and data miningICDM 2010 best research paper award honorable mention
Fei Wang education
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Tsinghua University
Frequently asked questions about Fei Wang
Quick answers generated from the profile data available on this page.
What company does Fei Wang work for?
Fei Wang works for Weill Cornell Medicine.
What is Fei Wang's role at Weill Cornell Medicine?
Fei Wang is listed as Associate Dean for Data Science and AI at Weill Cornell Medicine.
Where is Fei Wang based?
Fei Wang is based in New York City Metropolitan Area, United States while working with Weill Cornell Medicine.
What companies has Fei Wang worked for?
Fei Wang has worked for Weill Cornell Medicine, Center For Telehealth And Ehealth Law (Ctel), Cornell University, Swan Ai Studios, and Character Biosciences.
How can I contact Fei Wang?
You can use AeroLeads to view verified contact signals for Fei Wang at Weill Cornell Medicine, including work email, phone, and LinkedIn data when available.
What schools did Fei Wang attend?
Fei Wang holds Ph.D., Machine Learning & Data Mining from Tsinghua University.
What skills is Fei Wang known for?
Fei Wang is listed with skills including Data Mining, Machine Learning, Pattern Recognition, Algorithms, Python, Statistics, Information Retrieval, and Data Analysis.
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