Michael A. David, PhD Translational Orthopedics • Machine Learning • Multimodal Imaging • Scientific Art

About

A quick overview of my research focus, how I like to collaborate and mentor, and a few things I enjoy outside the lab.

Education

Doctor of Philosophy (PhD) in Biomedical Engineering
University of Delaware — Newark, DE (August 2013 – May 2019)

Bachelor of Science (BS) in Biomedical Engineering
University of Rochester — Rochester, NY (August 2009 – June 2013)

Academic appointments

Position Institution Dates
Instructor
Colorado Program for Musculoskeletal Research, Department of Orthopedics
University of Colorado Anschutz Medical Campus
Aurora, CO
May 2025 – Present
Research Instructor
Colorado Program for Musculoskeletal Research, Department of Orthopedics
University of Colorado Anschutz Medical Campus
Aurora, CO
March 2022 – April 2025
Postdoctoral Research Associate
Musculoskeletal Soft Tissue Laboratory, Department of Mechanical Engineering & Materials Science
Washington University in St. Louis
St. Louis, MO
May 2019 – February 2022
Graduate Research Assistant
Mechanotransduction and Mechanobiology Laboratory, Department of Biomedical Engineering
University of Delaware
Newark, DE
October 2013 – April 2019
Research Assistant
Cartilage Bioengineering Laboratory, Department of Mechanical Engineering
University of Delaware
Newark, DE
July 2013 – September 2013
Undergraduate Research Assistant
Center for Musculoskeletal Research
University of Rochester
Rochester, NY
May 2011 – June 2013

Research skills

I’m a biomedical engineer focused on translational orthopedics, combining bioinformatics, machine learning, and multimodal imaging to understand and predict musculoskeletal disease.

Comprehensive training in imaging, computational analysis, histology, and preclinical musculoskeletal models.

Area Highlights
Laboratory instruments MRI (11.74T Agilent; 9.4T Bruker BioSpec 94/20); microscopy (epifluorescence, confocal, multiphoton, polarized light, spectrophotometer); biomechanical testing (Instron) and microCT (Scanco); live animal imaging (IVIS/UVP); histology processing (processor, embedder, microtome; manual/auto staining + imaging); nanoparticle characterization (Litesizer/Zetasizer); flow cytometry (Novocyte).
Laboratory techniques 2D/3D cell culture (agarose/collagen hydrogels); primary cell isolation (chondrocyte, synoviocyte, tenocyte across multiple species); tissue explant/co-culture (cartilage + synovium); preclinical joint injury models (mouse knee DMM; rat elbow trauma); nanoparticle/liposome drug delivery; histology + IHC, semi-quantitative scoring, digital histopathology; spatial transcriptomics; machine learning + bioinformatics.
Computing & analysis Python, R, MATLAB, Java/Groovy; Docker, CLI, cloud computing. Histology/IHC: CT-Fire, NDPI-Nanozoomer, OsteoMeasure, QuPath. CT/MRI: CTan, BoneJ, Dragonfly, ITK-SNAP, Seg3D2.4, 3D Slicer. Flow/cell cycle: CellProfiler, FCSExpress, NovoExpress.

Mentorship and collaboration

I enjoy collaborating across disciplines and mentoring trainees with diverse backgrounds and interests.

CV

Download my CV and find my publications/profiles below.

Beyond the lab

Outside of research, I enjoy sports, creative work, and spending time outdoors (including nature photography).

Animated MAD logo
A little “electric sign” version of my logo.
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