About Me

I am a research fellow in Biomedical Informatics, Harvard Medical School. I work with Dr. Paul Avillach to apply machine learning-based methods to clinical and genomic datasets to discover subgroups of diseases. I received my Ph.D. in Informatics and Computing from Northern Arizona University under the supervision of Dr. Fatemeh Afghah. My doctoral research focused on developing machine learning and deep learning techniques to detect/predict different medical conditions, especially Atrial Fibrillation (AFib) using physiological signals such as ECG, EEG, APP, and PPG signals.

Education

• Postdoc Researcher – Harvard Medical School, 2020-Present.
• Ph.D in Informatics and Computing, Northern Arizona University, 2020
• M.Eng. in Information Technology, National University of Ireland, Galway, 2017
• M.Sc. in Computer Engineering, Iran University of Science and Technology, 2012
• B.Sc. in Computer Engineering, University of Zanjan, 2010

Work Experience

• UC San Diego Health, Dept. of Biomedical Informatics, San Diego, CA, USA.
  • Bioinformatics Programmer II, June 2019 - Aug. 2019
    Time series analysis and Machine learning: Worked on the design and development of machine learning models for early prediction of life-threatening conditions such as Sepsis and Delirium.
    Advisor: Dr. Shamim Nemati
• FotoNation, Inc, Galway, Ireland.
  • Research Assistant, May 2016 - Sep. 2016; May 2017 - Aug. 2017
    Machine learning: Worked in deep learning, reinforcement learning, and computer vision fields to design and develop algorithms for object detection, face detection/recognition.
    Advisor: Pawel Filipczuk and Gabriel Costache