Brent Gillespie

About

Brent Gillespie is a Professor of Mechanical Engineering and Robotics at the University of Michigan. His research interests include haptic interface and robotics, with specific focus on biomechanics & biosystems, controls, mechatronics, and robotics. He has been recognized for his contributions through various honors, including being an invited participant at the National Academies Keck Futures Initiative Program on Smart Prosthetics in November 2006, and serving as a delegate to the National Academy of Engineering Frontiers of Engineering in Fall 2004. Gillespie holds a Ph.D. in Mechanical Engineering from Stanford University, obtained in 1996, and a B.S. in Mechanical Engineering from the University of California at Davis. His academic background also includes a Master of Music from the San Francisco Conservatory of Music. He is based at the GGB building in Ann Arbor, MI, and has been involved in advancing education and research in mechatronics and robotics.

Research topics

• Urology
• Internal medicine
• Pathology
• Medicine
• Radiology

Selected publications

• The Association between Medication Adherence and Visual Field Progression in the Collaborative Initial Glaucoma Treatment Study

  Ophthalmology · 2020-01-10 · 194 citations

  articleOpen access
  PublisherOA PDFDOI

• CKD Awareness Among US Adults by Future Risk of Kidney Failure

  American Journal of Kidney Diseases · 2020-04-15 · 130 citations

  articleOpen access
  PublisherOA PDFDOI

• Kidney Biopsy Features Most Predictive of Clinical Outcomes in the Spectrum of Minimal Change Disease and Focal Segmental Glomerulosclerosis

  Journal of the American Society of Nephrology · 2022 · 50 citations

  BACKGROUND: Heterogeneity in disease course and treatment response among patients with MCD/FSGS necessitates a granular evaluation of kidney tissue features. This study aimed to identify histologic and ultrastructural descriptors of structural changes most predictive of clinical outcomes in the Nephrotic Syndrome Study Network (NEPTUNE). METHODS: Forty-eight histologic (37 glomerular, 9 tubulointerstitial, 2 vascular) and 20 ultrastructural descriptors were quantified by applying the NEPTUNE Dig…

  DOI

• Ultrastructural Characterization of Proteinuric Patients Predicts Clinical Outcomes

  Journal of the American Society of Nephrology · 2020 · 44 citations

  BACKGROUND: The analysis and reporting of glomerular features ascertained by electron microscopy are limited to few parameters with minimal predictive value, despite some contributions to disease diagnoses. METHODS: , or ESKD), and linear mixed models for longitudinal eGFR measures. RESULTS: Intrarater and interrater reproducibility was >0.60 for 12 out of 12 and seven out of 12 descriptors, respectively. Individual podocyte descriptors such as effacement and microvillous transformation were ass…

  DOI

• Mapping the Overlap of Poverty Level and Prevalence of Diagnosed Chronic Kidney Disease Among Medicare Beneficiaries in the United States

  Preventing Chronic Disease · 2024-04-01 · 7 citations

  articleOpen access

  Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.

  PublisherDOI

Recent grants

• NIH Grant P01GM067189

  NIH · $6.7M · 2009

• Computational Pathology of Proteinuric Diseases

  NIH · $3.6M · 2018–2026

• CureGN

  NIH · $10.7M · 2013–2029

Frequent coauthors

• Rajiv Saran

  Michigan United

  157 shared

• Lawrence B. Holzman

  University of Pennsylvania

  144 shared

• Takashi Akiba

  Toho University Medical Center Sakura Hospital

  144 shared

• Jarcy Zee

  Children's Hospital of Philadelphia

  140 shared

• Abigail R. Smith

  Northwestern University

  138 shared

• Michel Jadoul

  UCLouvain

  137 shared

• Laura Barisoni

  Duke University

  129 shared

• Friedrich K. Port

  Arbor Research Collaborative for Health

  129 shared

Education

• Ph.D., Statistics

  Temple University

  1989

• M.S., Statistics

  Ohio State University

  1975

• B.A., Mathematics

  Earlham College

  1972

Awards & honors

• Invited Participant at the National Academies Keck Futures I…
• Delegate to the National Academy of Engineering Frontiers of…
• Presidential Early Career Award for Scientists and Engineers…
• Member, Tau Beta Pi
• CAREER Award, Division of Computational Science and Engineer…

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• Pramod Sangi Reddyh-79
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