Daniel Greenfield
Ph.D. candidate (anticipated Mar 2023) in Biophysics with a focus on quantitative techniques in biomedicine
Research Interests
Publications
Artificial Intelligence in Medicine: Applications, Limitations and Future Directions
Artificial Intelligence in Medicine / Jan 01, 2022
Bauer, D. C., Wilson, L. O. W., & Twine, N. A. (2022). Artificial Intelligence in Medicine: Applications, Limitations and Future Directions. Artificial Intelligence in Medicine, 101–120. https://doi.org/10.1007/978-981-19-1223-8_5
Virtual Screening for Ligand Discovery at the σ1 Receptor
ACS Medicinal Chemistry Letters / Jul 27, 2020
Greenfield, D. A., Schmidt, H. R., Skiba, M. A., Mandler, M. D., Anderson, J. R., Sliz, P., & Kruse, A. C. (2020). Virtual Screening for Ligand Discovery at the σ1 Receptor. ACS Medicinal Chemistry Letters, 11(8), 1555–1561. https://doi.org/10.1021/acsmedchemlett.9b00314
Time-resolved fluorescence microscopy with phasor analysis for visualizing multicomponent topical drug distribution within human skin
Scientific Reports / Mar 24, 2020
Jeong, S., Greenfield, D. A., Hermsmeier, M., Yamamoto, A., Chen, X., Chan, K. F., & Evans, C. L. (2020). Time-resolved fluorescence microscopy with phasor analysis for visualizing multicomponent topical drug distribution within human skin. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-62406-z
Visualizing and quantifying antimicrobial drug distribution in tissue
Advanced Drug Delivery Reviews / Oct 01, 2021
Kuzma, B. A., Pence, I. J., Greenfield, D. A., Ho, A., & Evans, C. L. (2021). Visualizing and quantifying antimicrobial drug distribution in tissue. Advanced Drug Delivery Reviews, 177, 113942. https://doi.org/10.1016/j.addr.2021.113942
Wireless Wearable Sensor Paired With Machine Learning for the Quantification of Tissue Oxygenation
IEEE Internet of Things Journal / Dec 15, 2021
Cascales, J. P., Greenfield, D. A., Roussakis, E., Witthauer, L., Li, X., Goss, A., & Evans, C. L. (2021). Wireless Wearable Sensor Paired With Machine Learning for the Quantification of Tissue Oxygenation. IEEE Internet of Things Journal, 8(24), 17557–17567. https://doi.org/10.1109/jiot.2021.3081044
Convolutional Neural Networks in Advanced Biomedical Imaging Applications
Deep Learning for Biomedical Data Analysis / Jan 01, 2021
Greenfield, D. A., González, G., & Evans, C. L. (2021). Convolutional Neural Networks in Advanced Biomedical Imaging Applications. Deep Learning for Biomedical Data Analysis, 197–236. https://doi.org/10.1007/978-3-030-71676-9_9
Experimental and numerical optimization of optical wearable devices to measure tissue oxygenation
Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES) / Jan 01, 2022
Cascales, J. P., Roussakis, E., Li, X., Greenfield, D. A., Goss, A., Witthauer, L., Keshishian, H., Nguyen, J. Q., Marks, H. L., Draghici, A. E., Hamner, J. W., Taylor, J. A., & Evans, C. L. (2022). Experimental and numerical optimization of optical wearable devices to measure tissue oxygenation. Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES). https://doi.org/10.1364/sensors.2022.sm3e.4
Quantifying pharmacodynamics in a mouse inflammation model via CARS and SRS imaging paired with machine learning analysis
Advanced Chemical Microscopy for Life Science and Translational Medicine 2022 / Mar 02, 2022
Greenfield, D., & Evans, C. L. (2022). Quantifying pharmacodynamics in a mouse inflammation model via CARS and SRS imaging paired with machine learning analysis. Advanced Chemical Microscopy for Life Science and Translational Medicine 2022. https://doi.org/10.1117/12.2608687
Quantification of Tissue Oxygenation Using an Intensity-Based Wearable Device and Machine Learning Approaches
Biophotonics Congress 2021 / Jan 01, 2021
Cascales, J. P., Greenfield, D. A., Rousakis, E., Witthauer, L., Li, X., Goss, A., & Evans, C. L. (2021). Quantification of Tissue Oxygenation Using an Intensity-Based Wearable Device and Machine Learning Approaches. Biophotonics Congress 2021. https://doi.org/10.1364/omp.2021.om3e.3
Wearable device for remote monitoring of transcutaneous tissue oxygenation
Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables II / Mar 05, 2021
Cascales Sandoval, J. P., Roussakis, E., Witthauer, L., Goss, A., Li, X., Greenfield, D., Chen, Y., Marks, H. L., & Evans, C. L. (2021). Wearable device for remote monitoring of transcutaneous tissue oxygenation. Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables II. https://doi.org/10.1117/12.2577048
Education
Harvard University
Ph.D., Biophysics / March, 2023
Rutgers University
B.A., Biomathematics / May, 2018
Join Daniel on NotedSource!
Join Now
At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.
For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.
For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.
Expert Institutions
Proudly trusted by
