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About

I am a Ph.D. student in the Bioengineering (BIOE) department at the University of Illinois Chicago (UIC). Before joining the UIC, I received my Bachelor of Science in Applied Mathematics from the School of Mathematics, Statistics, and Computer Science at the University of Tehran. My research advances AI for various disease prediction and abnormality detection using real-world biomedical images and timeseries data.


I'm best reached via LinkedIn and email and always open to conversations and collaborations.


Research interests

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  • Using AI to transform medicine from a reactive to a proactive discipline.
  • Developing AI methods for abnormality detection from biomedical images, and timeseries signals.
  • Improving certainty and generalizability of AI models for a potential clinical translation.

    • Recent News

    February, 2021: I joined the A-IO Center at the University of Illinois at Chicago.

    October, 2020: I e-presented our poster titled Developing a potential biomarker for mood prediction using typing dynamics from smartphone data collected in-the-wild at 11th Annual Department of Psychiatry Research Forum (aka Extravaganza) at UIC.

    July, 2020: Our paper titled Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study was e-published in the Journal of the American Medical Informatics Association (JAMIA), Volume 27, Issue 7, Pages 1007–1018. Link to the paper.

    May, 2020: I joined The Janssen Pharmaceutical Companies of Johnson and Johnson as an R&D Data Scientist Intern to develope the deep-lerning-based anomaly detection methods for predicting depression relapse using sensor data collected unobtrusively through acti-watch in-the-wild as well as developing algorithms for engineering non-trivial sleep/awake period features.

    May, 2020: We e-presented our poster titled Characterizing Passively Collected Real-World Keyboard Dynamics in Mood Disorders as a Function of Age and Time-of-Day at the 2020 Society of Biological Psychiatry (SOBP). (e-presented the poster due to Covid-19 pandemic). Link to the poster.

    April, 2020: Our paper titled A systems biology approach to the digital behaviorome. was e-published in the Elsevier Journal of Current Opinion in Systems Biology. Link to the paper.

    December, 2019: We presented our poster titled Diurnal Patterns as Evidenced by Over Eleven Million Smartphone Keystrokes During Daily Usage: An iOS BiAffect Study at the ACNP 58th Annual Meeting: Poster Session II. Neuropsychopharmacol. 44, 230–384 (2019). (Poster T65). Link to the poster.

    September, 2019: We presented our poster titled Diurnal Patterns as Evidenced by Over Eleven Million Smartphone Keystrokes During Daily Usage: An iOS BiAffect Study at the 11th Annual National Network of Depression Centers Conference; 2019 Sept 24-25; Ann Arbor, MI. (Poster number 45). Link to the poster.

    May, 2019: We presented our poster titled Complexity of keyboard dynamics in bipolar disorder: A BiAffect digital phenotyping study at the 2019 Society of Biological Psychiatry (SOBP). Chicago, IL.

    January, 2019: I joined the BiAffect team and the CoNECt Lab at the University of Illinois at Chicago.