About
David A. Mix Barrington is a Professor at the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst. His primary research area is computational complexity, with a focus on boolean circuits, automata, and logic. He has been actively involved in teaching and curriculum development, offering courses in formal languages, computability, complexity, discrete mathematics, and the mathematical foundations of computing. He has also served in administrative roles, including Associate Chair of the Faculty for Academics in the College of Information and Computing Sciences, and has been a key resource for academic advising within the department. Throughout his career, Professor Barrington has contributed extensively to undergraduate and graduate education, co-teaching core courses in discrete mathematics, the theory of algorithms, and the theory of computation. He has also led seminars and independent study courses on topics such as algebraic graph theory and complexity theory. His involvement in course instruction spans many years, demonstrating a deep commitment to both research and education in computer science.
Research topics
- Computer Science
- Mathematics
- Algorithm
Selected publications
American Journal of Obstetrics and Gynecology · 2022 · 15 citations
- Medicine
- Internal medicine
- Gynecology
Gynecologic Oncology · 2021 · 21 citations
- Medicine
- Internal medicine
- Oncology
JCO Precision Oncology · 2021 · 27 citations
- Medicine
- Internal medicine
- Oncology
PURPOSE: Clinical utility of up-front multigene panel testing (MGPT) is directly related to the frequency of pathogenic variants (PVs) in the population screened and how genetic findings can be used to guide treatment decision making and cancer prevention efforts. The benefit of MGPT for many common malignancies remains to be determined. In this study, we evaluated up-front MGPT in unselected patients with endometrial cancer (EC) to determine the frequency of PVs in cancer susceptibility genes. METHODS: Patients with EC were prospectively enrolled at nine Ohio institutions from October 1, 2017, to December 31, 2020. Nine hundred and sixty-one patients with newly diagnosed EC underwent clinical germline MGPT for 47 cancer susceptibility genes. In addition to estimating the prevalence of germline PVs, the number of individuals identified with Lynch syndrome (LS) was compared between MGPT and tumor-based screening. RESULTS: PVs were found in 1% (10 of 961; 95% CI, 0.6 to 1.9) of patients and that group was significantly enriched for type II ECs. CONCLUSION: heterozygotes frequently had type II cancers points to therapeutic opportunities for women with aggressive histologic EC subtypes.
Gynecologic Oncology · 2020 · 22 citations
- Medicine
- Oncology
- Gynecology
Complexity of Boolean Functions (Dagstuhl Seminar 9711)
1997
1st authorCorresponding- Computer Science
- Computer Science
- Mathematics
Frequent coauthors
- 3 shared
Pierre McKenzie
- 2 shared
Huong LêThanh
Université Paris Cité
- 2 shared
Neil Immerman
- 2 shared
Peter Kadau
University of Tübingen
- 1 shared
Klaus-Jörn Lange
University of Tübingen
- 1 shared
Rüdiger Reischuk
University of Lübeck
- 1 shared
Ingo Wegener
- 1 shared
Mark Valence
Dartmouth College
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