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Matthew M. Engelhard
Assistant Professor, Biostatistics and Bioinformatics, Duke University
Joined
July 2019
Names
Matthew M. Engelhard
,
Matthew M Engelhard
,
Matthew Engelhard
Emails
****@duke.edu
(Confirmed)
,
****@virginia.edu
(Confirmed)
Personal Links
Google Scholar
DBLP
ORCID
Semantic Scholar
ACL Anthology
Career & Education History
Assistant Professor
Biostatistics and Bioinformatics,
Duke University
(duke.edu)
2021
–
Present
Advisors, Relations & Conflicts
Postdoc Advisor
Ricardo Henao
2017
–
2020
Postdoc Advisor
Lawrence Carin
2017
–
2020
PhD Advisor
Stephen Patek
2011
–
2016
PhD Advisor
John Lach
2011
–
2016
Expertise
point processes
Present
domain adaptation
Present
survival analysis
Present
explainability
Present
healthcare
Present
probabilistic models
Present
Publications
Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning
Minghui Sun
,
Matthew M. Engelhard
,
Benjamin Alan Goldstein
CoRR 2025
Readers:
Everyone
FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
Pengxi Liu
,
Yi Shen
,
Matthew M. Engelhard
,
Benjamin Alan Goldstein
,
Michael J. Pencina
,
Nicoleta J. Economou-Zavlanos
,
Michael M. Zavlanos
CoRR 2025
Readers:
Everyone
CLEAR: Unlearning Spurious Style-Content Associations with Contrastive LEarning with Anti-contrastive Regularization
Minghui Sun
,
Benjamin Alan Goldstein
,
Matthew M. Engelhard
CoRR 2025
Readers:
Everyone
Incorporating informatively collected laboratory data from EHR in clinical prediction models
Minghui Sun
,
Matthew M. Engelhard
,
Armando Bedoya
,
Benjamin Goldstein
BMC Medical Informatics and Decision Making
Readers:
Everyone
Infinite hierarchical contrastive clustering for personal digital envirotyping
Ya-Yun Huang
,
F. Joseph McClernon
,
Jason A. Oliver
,
Matthew M. Engelhard
CoRR 2025
Readers:
Everyone
Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model
Yuankang Zhao
,
Matthew Engelhard
CoRR 2025
Readers:
Everyone
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance
Jihye Choi
,
Nils Palumbo
,
Prasad Chalasani
,
Matthew M. Engelhard
,
Somesh Jha
,
Anivarya Kumar
,
David Page
MLHC 2024
Readers:
Everyone
Exploring trade-offs in equitable stroke risk prediction with parity-constrained and race-free models
Matthew Engelhard
,
Daniel Wojdyla
,
Haoyuan Wang
,
Michael J. Pencina
,
Ricardo Henao
Artif. Intell. Medicine 2025
Readers:
Everyone
IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences
Fengnan Li
,
Elliot D. Hill
,
Jiang Shu
,
Jiaxin Gao
,
Matthew M. Engelhard
ACL (1) 2025
Readers:
Everyone
Predicting Partially Observed Long-Term Outcomes with Adversarial Positive-Unlabeled Domain Adaptation
Mengying Yan
,
Meng Xia
,
Wei Angel Huang
,
Chuan Hong
,
Benjamin Goldstein
,
Matthew M. Engelhard
CHIL 2025
Readers:
Everyone
View all 32 publications
Co-Authors
Abby Scheer
Alexandar J. Thomson
Alexander Joseph Thomson
Alexander Thomson
Anivarya Kumar
Armando Bedoya
Benjamin Alan Goldstein
Benjamin Goldstein
Bernard F. Fuemmeler
Boyao Li
Brian Eichner
Chuan Hong
Daniel Wojdyla
David Page
Eliana M. Perrin
Elliot D. Hill
F. Joseph McClernon
Fengnan Li
Gary Maslow
Geraldine Dawson
Guillermo Sapiro
Haoyuan Wang
Hongteng Xu
Houssam Nassif
Jason A. Oliver
View all 65 co-authors