You can find my most recent CV at the link below:

Education

2021- Massachusetts Institute of Technology Ph.D. Student, EECS Cambridge, MA, USA

2019 – 2021 Korea Advanced Institute of Science and Technology (KAIST)  Master of Science, School of Computing Daejeon, Republic of Korea

2015 – 2019  YONSEI UNIVERSITY                                                           Medical Doctor, College of Medicine Seoul, Republic of Korea  

2009 – 2015  Korea Advanced Institute of Science and Technology (KAIST)   Bachelor of Science in Biological Sciences Daejeon, Republic of Korea
Cum Laude    

2007 – 2009  Gwangju Science High School                                        Gwangju, Republic of Korea

Publications

2023

Hyewon Jeong, Nassim Oufattole, Aparna Balagopalan, Matthew Mcdermott, Payal Chandak, Marzyeh Ghassemi & Collin Stultz (2023). Event-Based Contrastive Learning for Medical Time Series., UniReps NeurIPS Workshop.

Hyewon Jeong, Collin Stultz, Marzyeh Ghassemi (2023). Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. Machine Learning for Healthcare Conference.

Sarah Soyeon Oh, Irene Kuang, Hyewon Jeong, Jin-Yeop Song, Boyu Ren, Jong Youn Moon, Eun-Cheol Park, Ichiro Kawachi (2023). Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study. Journal of Medical Internet Research. Vol 25, e45041.

2022

Lee, K.*, Jeong, H.*, Kim, S., Yang, D., Kang, H., & Choi, E. (2022). Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting. ACM CHIL 2022.  Code
* Equally Contributed

2021

Nguyen. A.*, Jeong, H.*, Yang, E., & Hwang, S. Clinical Risk Predicition with Temporal Probabilistic Asymmetric Multi-Task Learning. The Association for the Advancement of Artificial Intelligence (AAAI) 2021.
* Equally Contributed

2020

Heo. J., Park, J., Jeong, H., Lee, J., Kim, K., Yang, E., Hwang, S. Cost-Effective Interactive Attention Learning. International Conference on Machine Learning (ICML) 2020.

2019

Jeong, H., Park, J., Shim, J.K., Lee, J.E., Chang, J.H., Yook, J.I., & Kang, S.G.(2019). Combined Treatment of 2'-Hydroxycinnamaldehyde and Temozolomide Suppresses Glioblastoma through Decrease in Stemness and Invasiveness. Journal of neuro-oncology, 143(1), 69-77.

2017 

Song, Y. H., Kim, J. H., Jeong, H., Choi, I., Jeong, D., Kim, K., & Lee, S. H. (2017). A Neural Circuit for Auditory Dominance over Visual Perception. Neuron, 93(4), 940-954.

Methods and Devices for Pill Identification. (Patent No. 10-1943217, Patent Registration, Korea, 2017.08.)

Invited Talk

2019 Temporal Probabilistic Asymmetric Multi-Task Learning Severance Hospital P-HIS symposium

2018 Becoming a researcher: Things to Know as a medical Student Yonsei Medical Student's Colloquium

Presentation

Jeong, H.*, Nguyen. A.*,  Yang, E., & Hwang, S. (2019). Uncertainty-Aware Deep Temporal Asymmetric Multi-task Learning. Woman in Machine Learning workshop, 2019 Conference on Neural Information Processing Systems
* Equally Contributd

Jeong, H., Kang, H.P., Jeong, I., Yang, E., & Chung, M.J. (2018). Personalized nutritional assessments and support of pancreatic cancer patients. Poster Presentation. Yonsei Medical Student's Colloquium.

Jeong, H., Kim H. & Kim, J. (2017). Evaluation of Prediction Error presentation in schizophrenic brain. Poster Presentation. Yonsei Medical Student's Colloquium.

Jeong, H., Kim, J., Jo, H., Han, D., Lee, S., Jeong, M., Lim, H., Lee, J., Lee, Y., Choi. Y., Choi. H. (2017). Deep Learning Based Pill Identification Tool, Poster Presentation, Yonsei Medical Student's Colloquium.

Research Experience

2015 – 2019 Student Researcher Behavioural Science Laboratory for VR & Brain Mechanism, Gangnam Severance Hospital

2016 – 2018 Research Intern Brain tumor transition Research Center, Severance Hospital

2013 – 2014 Undergraduate Researcher Sensory Processing Laboratory, KAIST

2013 Undergraduate Intern Behavioral Genetics Laboratory, KAIST

2012 Undergraduate Researcher Systems and Synthetic biology Laboratory, KAIST

Honors & Awards

2019             Dean’s Award to Best Student Researcher     Medical Student Research Area Graduation Ceremony, Yonsei University College of Medicine
Awarded as outstanding student researcher who devoted the best effort during medical school years.

2018             Best Paper Award     Ilhan New Paper Award         Yonsei Medical Student's Colloquium

2018             Best Presentation     The 26th Federation Meeting of Korean Basic Medical Scientists

2017             Paper Award         Ilhan New Paper Award             Yonsei Medical Student's Colloquium 

2015             Best Team Award     Computational Neuroscience Winter School     Korean Society for Computational Neuroscience

2012         Gold Prize             Asia Regional Jamboree International Genetic Engineered Machine Competition (IGEM)

Advanced to World Championship

Fellowships, Funds & Projects

2022 David and Randi Fett Fellowship Fellowship MIT
2021 Jameel Clinic Fellowship Fund Fellowship Jameel Clinic, MIT

2020 KAIST VRPGP KAIST
* Venture Research Program for Graduate and PhD students

2018   Research Fund           Student Research Aid Program Yonsei University College of Medicine

2016   Research Fund           Student Research Aid Program Yonsei University College of Medicine

2017             Startup Team Fund   Startup Team Funding System                        Yonsei University

Fellowships & Scholarships

2021-2022 Jameel Clinic Fellowship Jameel Clinic, MIT

2019-           KAIST Scholarship                                                                                 MLAI Lab, KAIST

2009 - 2014  National Undergraduate Science and Technology Scholarship Korea Student Aid Foundation

2012             Woo-Deok, Yoon Deok-Byung Foundation Scholarship                    Korea Yakult Co., Ltd

Professional Experience

2024.05. Research Intern Apple Inc.

2018.01. Research Medical Researcher AItrics

2018.01. Startup Medical Counseling AItrics
- Helped Startup company developing deep-learning based pill identification tool

2017 Startup General Manager YAK
- Developed solutions for deep-learning based pill identification and released in cellphone application form

Education Experience 

2013 Undergraduate Teaching Assistant Introduction to Biological Science KAIST

2014 Teaching Assistant Introduction to Neurobiology KAIST

2011-2013 Undergraduate Tutor Introduction to Biological Science KAIST

Licences 

2019 Medical Doctor Ministry of Health and Welfare Republic of Korea