Curriculum Vitae (CV)

Education

• Ph.D. in Biomedical Engineering, Columbia University, in progress
• M.S. in Biomedical Engineering, Columbia University, 2021
• B.A. in Mathematics and Economics (dual degree), Baruch College, City University of New York, 2018

Research Experience (since 2020)

• Greduate Research Assistant, Columbia University, Jun 2019 – Present
  • Laboratory for Intelligent Imaging and Neural Computing (LIINC), PI: Dr. Paul Sajda
  • Main focus: simultaneous fMRI-EEG-TMS and EEG-rTMS systems, neuromodulation, bioinformatics, brain computer interface (BCI)
• Research Assistant, Columbia University & New York State Psychiatric Institude, Dec 2017 – Dec 2022
  • Global Psychiatric Epidemiology Group (GPEG), PI: Dr. Christina Hoven
  • Main focus: imaging analysis, statistical modeling of decision-making, experiment design
• Research Assistant, Columbia University, Mar 2020 – Sep 2020
  • Kellendonk Lab, PI: Dr. Christoph Kellendonk
  • Main focus: DeepLabCut, animal behavioral modeling

Patents

• Application number: 18054447, Closed-loop simultaneous functional magnetic resonance imaging (fMRI)- electroencephalogram (EEG)- transcranial magnetic stimulation (TMS) system.

Publications

Delay discounting and neurocognitive correlates among inner city adolescents with and without family history of substance use disorder Permalink

Rodriguez-Moreno, D. V., Cycowicz, Y. M., Figner, B., Wang, Z., He, X., Geronazzo-Alman, Sun, X., Cheslack-Postava, K., Bisaga, A., Hoven, C.W., & Amsel, L.V. (2021). Delay discounting and neurocognitive correlates among inner city adolescents with and without family history of substance use disorder. Developmental cognitive neuroscience, 48, 100942.

Daily prefrontal closed-loop repetitive transcranial magnetic stimulation (rTMS) produces progressive EEG quasi-alpha phase entrainment in depressed adults Permalink

Faller, J.*, Doose, J.*, Sun, X.*, Mclntosh, J. R., Saber, G. T., Lin, Y., ... & Sajda, P. (2022). Daily prefrontal closed-loop repetitive transcranial magnetic stimulation (rTMS) produces progressive EEG quasi-alpha phase entrainment in depressed adults. Brain stimulation, 15(2), 458-471.

The timing of transcranial magnetic stimulation relative to the phase of prefrontal alpha EEG modulates downstream target engagement Permalink

Pantazatos, S. P.*, Mclntosh, J. R.*, Saber, G. T.*, Sun, X., Doose, J., Faller, J., ... & Brown, T. R. (2023). The timing of transcranial magnetic stimulation relative to the phase of prefrontal alpha EEG modulates downstream target engagement. Brain Stimulation, 16(3), 830-839.

Neurophysiological markers of emotion regulation predict efficacy of entrepreneurship education Permalink

Egana-delSol, P., Sun, X., & Sajda, P. (2023). Neurophysiological markers of emotion regulation predict efficacy of entrepreneurship education. Scientific Reports, 13(1), 7206.

A non-canonical striatopallidal Go pathway that supports motor control Permalink

Labouesse, M., Torres-Herraez, A., Chohan, M., Villarin, J., Greenwald, J., Sun, X., ... & Kellendonk, C. (2023). A non-canonical striatopallidal Go pathway that supports motor control. Nature Communications, 14, 6712.

EEG synchronized left prefrontal transcranial magnetic stimulation (TMS) for treatment resistant depression is feasible and produces an entrainment dependent clinical response: a randomized controlled double blind clinical trial Permalink

George, M. S., Huffman, S., Doose, J., Sun, X., Dancy, M., Faller, J., ... & Brown, T. (2023). EEG synchronized left prefrontal transcranial magnetic stimulation (TMS) for treatment resistant depression is feasible and produces an entrainment dependent clinical response: a randomized controlled double blind clinical trial. Brain Stimulation, 16(6), 1753-1763.

Uncovering invariant representations in functional neuroimaging with deep metric learning Permalink

Mittal, A., Sun, X., Paisley, J., & Sajda, P. (2023). Uncovering invariant representations in functional neuroimaging with deep metric learning. bioRxiv, 2023-09.

Increased entrainment and decreased excitability predict efficacious treatment of EEG-synchronized rTMS for treatment-resistant depression patients Permalink

Sun, X., Doose, J., Faller, J., McIntosh, J., Saber, G. T., Huffman, S., ... & Sajda, P. (2023). Increased entrainment and decreased excitability predict efficacious treatment of closed-loop phase-locked rTMS for treatment-resistant depression. medRxiv, 2023-10.

Fixating on attention: integrating human eye tracking into vision transformers Permalink

Koorathota, S.*, Papadopoulos, N.*, Ma, J. L., Kumar, S., Sun, X., Mittal, A., Adelman, P., & Sajda, P. (2023). Fixating on attention: integrating human eye tracking into vision transformers. arXiv preprint arXiv:2308.13969.

Circular clustering with polar coordinate reconstruction Permalink

Sun, X., & Sajda, P. (2024). Circular clustering with polar coordinate reconstruction. IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Racial, ethnic, and socioeconomic disparities in Covid-19 pandemic worries Permalink

Hoven, C. W., Krasnova, A., Bresnahan, M., Sun, X., Musa, G., Geronazzo-Alman, L., ... & Cheslack-Postava, K. (2024). Racial, ethnic, and socioeconomic disparities in Covid-19 pandemic worries. Journal of racial and ethnic health disparities, 1-9.

Talks

Increased entrainment and decreased excitability predict efficacious treatment for major depressive disorder patients given EEG-synchronized rTMS

April 01, 2023

Conference Talk at 49th Northeast Bioengineering Conference (NEBEC2023), Philadelphia, PA

Brain synchronization as a predictive factor in depression treatment given EEG-synchronized rTMS

March 06, 2024

Conference Talk at American Physical Society 2024 (APS2024) March Meeting, Minneapolis, MN

Increased entrainment and decreased excitability predict efficacious treatment for major depressive disorder patients given EEG-synchronized rTMS

August 02, 2024

Conference Talk at 2024 NYC Neuromodulation Conference, New York, NY

Advancing Neural Engineering with AI-Driven Innovations and Applications

September 26, 2024

Event Talk at 2024 IEEE EMBS Summer/Winter Camp, Virtual

AI-Powered Neural Engineering: An Overview of Current Trends and Future Prospects

October 11, 2024

Event Talk at APS FGSA AI Virtual Webinar Series, Virtual

Teaching

Signal Modeling (BMEN E4420), Spring2022

Biostatistics (BMEN E4110), Fall2022

Signal Modeling (BMEN E4420), Spring2023

Honors & Awards (since 2020)

• 2024 IEEE EMBC NextGen Scholar Award
• 2023 Monthly Spotlight – December 2023, Biomedical Engineering Blaze
• 2023 IEEE BHI’23 National Science Foundation (NSF) Student Travel Award
• 2023 Selected as 2023 Cohorts of Columbia’s Program for Diversity and Inclusion in Commercialization and Entrepreneurship (DICE)
• 2023 Young Scientist, 49th Northeastern Biomedical Engineering Conference
• 2023 Abstract Promotion - Outreach to the Press, American Physical Society (APS2023)
• 2021 1st prize, BMB’ 2021 Student Best Poster Award
• 2020 Data Institute Scholarship, Data Science Institute (DSI) Scholars Program

Leadership & Outreach (since 2020)

• IEEE EMBS Student Activities Committee – North America Chair, May 2024 – Present
• IEEE EMBS Student Activities Committee – EMBC Annual Meeting Team Leader, Apr 2024 – Present
• University Life Ambassador, University Life, Aug 2023 – May 2024
• IEEE Student Ambassador, IEEEXtreme17.0, May 2023 – Oct 2023
• Department Representative, Engineering Graduate Student Council (EGSC), Jan 2023 – Jun 2023
• Treasurer, Graduate Society of Women Engineers (GradSWE), Jan 2020 – Dec 2020

Please feel free to contact me for my detailed CV.