Yuxin Chen

About

Yuxin Chen is a Professor of Statistics and Data Science and Electrical and Systems Engineering at the University of Pennsylvania. His research focuses on machine learning theory, particularly diffusion models, LLM, and RL, as well as statistics and optimization. He has a strong background in electrical engineering and has previously held positions at Princeton University and Stanford University.

Research topics

• Medicine
• Internal medicine
• Virology
• Computer Science
• Political Science
• Emergency medicine
• Mathematics
• Oncology
• Medical emergency
• Pediatrics

Selected publications

• Variation in US Hospital Mortality Rates for Patients Admitted With COVID-19 During the First 6 Months of the Pandemic

  JAMA Internal Medicine · 2020 · 268 citations

  Importance: It is unknown how much the mortality of patients with coronavirus disease 2019 (COVID-19) depends on the hospital that cares for them, and whether COVID-19 hospital mortality rates are improving. Objective: To identify variation in COVID-19 mortality rates and how those rates have changed over the first months of the pandemic. Design, Setting, and Participants: This cohort study assessed 38 517 adults who were admitted with COVID-19 to 955 US hospitals from January 1, 2020, to June 3…

  DOI

• Why Is the Electronic Health Record So Challenging for Research and Clinical Care?

  Methods of Information in Medicine · 2021 · 110 citations

  BACKGROUND: The electronic health record (EHR) has become increasingly ubiquitous. At the same time, health professionals have been turning to this resource for access to data that is needed for the delivery of health care and for clinical research. There is little doubt that the EHR has made both of these functions easier than earlier days when we relied on paper-based clinical records. Coupled with modern database and data warehouse systems, high-speed networks, and the ability to share clinic…

  DOI

• Patient and Hospital Factors Associated With Differences in Mortality Rates Among Black and White US Medicare Beneficiaries Hospitalized With COVID-19 Infection

  JAMA Network Open · 2021 · 109 citations

  Importance: Black patients hospitalized with COVID-19 may have worse outcomes than White patients because of excess individual risk or because Black patients are disproportionately cared for in hospitals with worse outcomes for all. Objectives: To examine differences in COVID-19 hospital mortality rates between Black and White patients and to assess whether the mortality rates reflect differences in patient characteristics by race or by the hospitals to which Black and White patients are admitte…

  DOI

• Understanding pediatric long COVID using a tree-based scan statistic approach: an EHR-based cohort study from the RECOVER Program

  JAMIA Open · 2023 · 27 citations

  Objectives: Post-acute sequalae of SARS-CoV-2 infection (PASC) is not well defined in pediatrics given its heterogeneity of presentation and severity in this population. The aim of this study is to use novel methods that rely on data mining approaches rather than clinical experience to detect conditions and symptoms associated with pediatric PASC. Materials and Methods: = 6545) SARS-CoV-2 infection. We used a tree-based scan statistic to identify potential condition clusters co-occurring more fr…

  PublisherOA PDFDOI

• A real-world cohort study of immune-related adverse events in patients receiving immune checkpoint inhibitors

  npj Precision Oncology · 2025-11-11 · 9 citations

  articleOpen access

  Immune checkpoint inhibitors (ICIs) have transformed cancer care but are frequently associated with immune-related adverse events (irAEs), complicating treatment. This retrospective cohort study analyzed 9193 adult patients from the OneFlorida+ Clinical Research Network who received ICIs between 2018 and 2022, aiming to identify risk factors for irAEs and evaluate their incidence, severity, and clinical impact. Among the 6,526 patients included in the final analysis, 56.2% developed irAEs within…

  PublisherOA PDFDOI

Recent grants

• CICADA: clinical informatics and computational approaches for drug-repositioning of AD/ADRD

  NIH · $1.5M · 2021–2025

• Dynamic learning for post-vaccine event prediction using temporal information in VAERS

  NIH · $3.4M · 2017–2024

• Multivariate Meta-anaylsis of Diagnostic Tests

  NIH · $100k · 2014–2016

Frequent coauthors

• Jiayi Tong

  University of Pennsylvania

  106 shared

• Haitao Chu

  86 shared

• Fei Wang

  Boehringer Ingelheim (United States)

  83 shared

• Chongliang Luo

  Washington University in St. Louis

  76 shared

• Christopher R. Forrest

  70 shared

• Payal Patel

  National Institutes of Health

  69 shared

• Thomas W. Carton

  Louisiana Public Health Institute

  64 shared

• Christopher B. Forrest

  Children's Hospital of Philadelphia

  64 shared

Education

• Ph.D., Electrical Engineering

  Stanford University

  2015

• Other, Statistics

  Stanford University

  2017

Awards & honors

• SIAM Activity Group on Imaging Science Best Paper Prize
• IEEE Transactions on Power Electronics Prize Paper Award (fi…
• ICCM Best Paper Award (Gold Medal)
• Finalist for Best Paper Prize for Young Researchers in Conti…

Similar researchers at University of Pennsylvania

• Cherie Kaganh-68
• David Issadoreh-52
• Lei Guh-48