Parth Gami

Ph.D. Candidate in Biomedical Engineering at Columbia University

New York, New York, United States

About

I am a fifth-year PhD candidate at Columbia University conducting research at the Ultrasound and Elasticity Imaging Laboratory (UEIL) led by Dr. Elisa Konofagou. I am interested in the field of medical diagnostics, specifically the development of low-cost and noninvasive diagnostic devices. My research at UEIL involves using ultrasound, digital signal processing, machine learning, and deep learning techniques to investigate vascular diseases.

Experience

  • Columbia University (4 yrs 10 mos)
    • Graduate Research Assistant
      Sep 2021 - Present · 4 yrs 10 mos

      Research Project: Development of ultrasound-based imaging techniques to characterize arterial wall mechanics and blood flow dynamics for the characterization and monitoring of cardiovascular diseases. Experience: Physiological signal motion estimation, signal and image processing, deep learning, ultrasound software programming, wearable ultrasound applications, statistical analysis, clinical study coordination Research Advisor: Dr. Elisa Konofagou, Ph.D

    • Graduate Teaching Assistant
      Aug 2023 - May 2024 · 10 mos

      BMEN E3920: Senior Design I and II As a Graduate TA in Senior Design, I provided constructed feedback and engineering assistance to support the design and development processes for student groups.

  • Convergence Science Fellow at Mayo Clinic
    Jan 2021 - May 2021 · 5 mos

    Research Project: Development of intra-operative device to estimate spinal alignment metrics during scoliosis surgery (spinal fusion). [Georgia-Tech BME Capstone] Research Advisor: Dr. Kingsley Abode-Iyamah, M.D. Research Deliverables: First author for featured publication (cover, Nov 2022) in Journal of Neurosurgery: Spine titled, "Semiautomated intraoperative measurement of Cobb angle and coronal C7 plumb line using deep learning and computer vision for scoliosis correction: a feasibility study"

  • Georgia Institute of Technology (Part-time · 1 yr 10 mos)
    • PPG Team Lead, Undergraduate Research Assistant | Gleason Lab
      Aug 2019 - May 2021 · 1 yr 10 mos

      Research Project: Development of a low-cost, point-of-care photoplethysmography device for early assessment of preeclampsia risk in Ethiopia (NSF-supported clinical study) Research Advisor: Dr. Rudolph Gleason, Ph.D. Research Deliverables: First-author of poster presented at the 2020 Biomedical Engineering Society Annual Conference

    • BMED 3110 Teaching Assistant
      Aug 2020 - Nov 2020 · 4 mos

      As a TA for 3110, I provided feedback to student teams on their projects in terms of experimental design, technical writing, circuitry design, and statistical methods.

    • BMED 2310 - Junior Teaching Assistant
      Jan 2020 - May 2020 · 5 mos

      I provided guidance and assistance to a team of biomedical engineering students on their semester-long device project. I also helped with the grading of assignments.

  • Summer Undergraduate Research Fellow at Mayo Clinic Graduate School of Biomedical Sciences
    Jul 2020 - Aug 2020 · 2 mos

    Participated in the 4-week virtual Summer Foundations in Research program. Originally selected to work on novel ultrasound-based diagnostics under Dr. Mostafa Fatemi (cancelled due to COVID-19 pandemic). Research Projects: - Experimental protocol development for deep learning based diagnosis of bicuspid aortic valve (Dr. David Holmes III) -Construction of in-silico design of recombinant DNA molecule pT3TS-EGFP for expression of EGFP in Zebrafish embryos (Dr. Ankit Sabharwal) Research Deliverables: Poster presentation, completion of Statistical Analysis and Fundamentals of Clinical and Translational Research courses

  • Undergraduate Research Assistant | Garcia Lab at Georgia Institute of Technology
    Aug 2018 - May 2019 · 10 mos

    Research Project: Development of cell perifusion system, provide assistance with the differentiation of stem cells into β cells for a diabetes-focused project Research Advisor: Dr. Andrés J. García, PhD