If you made any changes in Pure, your changes will be visible here soon.

Personal profile

Bio

Joshua Chang completed his Bachelor of Science and his Master of Engineering degrees at the Massachusetts Institute of Technology in electrical engineering and computer science, focusing on signal processing and artificial intelligence. His master’s dissertation was completed at the MIT Lincoln Laboratory in missile tracking using different radar modalities.

Before pursuing an M.D./Ph.D. at the University of Massachusetts Medical School (UMass), he worked as a software engineer at the Broad Institute and Harvard’s School of Public Health and Center for Health Decision Science. At UMass, he completed a thesis in quantitative health sciences and neurology under the supervision and mentorship of David Paydarfar, designing and developing adaptive control algorithms to optimize stimulus waveforms for implantable medical devices. He continues his research at Dell Medical School, studying ways to leverage artificial intelligence to better improve population health through health care across diagnostics, therapeutics and predictive analytics.

Fingerprint Dive into the research topics where Joshua Chang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Electric Stimulation Medicine & Life Sciences
Tuberous Sclerosis Medicine & Life Sciences
Rotavirus Medicine & Life Sciences
Mutant Proteins Medicine & Life Sciences
Epilepsy Medicine & Life Sciences
Vaccination Medicine & Life Sciences
Sodium Channels Medicine & Life Sciences
Magnetic Resonance Imaging Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2007 2019

  • 6 Article
  • 3 Conference contribution
  • 1 Comment/debate
  • 1 Review article
2 Citations (Scopus)

Optimizing stimulus waveforms for electroceuticals

Chang, J. & Paydarfar, D., Apr 1 2019, In : Biological Cybernetics. 113, 1-2, p. 191-199 9 p.

Research output: Contribution to journalReview article

Electric Stimulation
Equipment and Supplies
Therapeutics
Direction compound

Bayesian Online Changepoint Detection of Physiological Transitions

Gee, A. H., Chang, J., Ghosh, J. & Paydarfar, D., Oct 26 2018, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers Inc., p. 45-48 4 p. 8512204. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bayes Theorem
Apnea
Bradycardia
Premature Infants
Therapeutics
2 Citations (Scopus)

Evolution of extrema features reveals optimal stimuli for biological state transitions

Chang, J. & Paydarfar, D., Dec 1 2018, In : Scientific reports. 8, 1, 3403.

Research output: Contribution to journalArticle

Switches
Biological systems
Medicine

Optimizing stimulus waveforms for suppressing epileptic activity reveals a counterbalancing mechanism

Chang, J. & Paydarfar, D., Oct 26 2018, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers Inc., p. 2226-2229 4 p. 8512762. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Epilepsy
Electric Stimulation
Seizures
Therapeutics
Drug Resistant Epilepsy