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Mani SotoodehMS

Mani Sotoodeh

Healthcare Informatics Researcher | Machine Learni

800 €/jour
Montreal, CA
0-2 ans

Délai de réponse moyen : 1h

À propos de Mani

I am a passionate healthcare informatics researcher with a strong focus on real-world applications that benefit a diverse range of people. My goal is to reduce social and healthcare disparities across minority groups through the development of innovative healthcare solutions. I have a deep understanding of machine learning theory, as well as the practical considerations and nuances of turning research into public policy. As an experienced research assistant in the higher education industry, I have honed my skills in machine learning, data mining, graphical models, and algorithms. Feel free to connect with me if these resonate with you.
  • Persan

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

  • Français

    Capacité professionnelle limitée

Accepte de travailler sur site
Montreal (jusqu’à 50 km)

Expériences

  • Université de Montréal
    Postdoctoral Fellow
    CENTRES DE RECHERCHE
    août 2021 - Aujourd'hui (4 ans et 9 mois)
    Montreal, QC, Canada
    Modeling the spread of infectious diseases through heterogeneous data streams for early warning of public health threats. Analysis of the utility of social media in predicting the emergence and situational awareness of public health threats such as COVID-19.
  • Emory University
    Graduate Research Assistant at Department of Computer Science at Emory University
    juin 2018 - août 2021 (3 ans et 2 mois)
    Atlanta Metropolitan Area, GA, USA

    - Computational impact of cohort definition for pressure ulcer injury detection based on different sources of health records
    - Leveraging crowdsourcing uncertainty to inform learning in the presence of noise in a semi-supervised setting
    - Automatic detection of nursing quality metrics using EHR data and weak supervision from nursing staff
    - Predicting length of stay of ICU patients using Graphical Models and raw Electronic Health Records data
    - Tensor factorization for phenotyping in medical datasets to develop high quality features for various prediction tasks
    - Evaluation of crowdsourcing algorithms under attack and robust inference using matrix completion
  • Emory University
    Teaching Assistant at Department of Math and Computer Science
    août 2016 - mai 2018 (1 an et 9 mois)
    Atlanta Metropolitan Area, GA, USA
    TA for CS 170 (Introduction to Computer Science, Java) . My responsibilities include: 1- Holding office hours to answer students' questions. 2- Grading Quizzes and Homework 3- Participating in Lectures to answer students questions, as they tackle the problem given by the lecturer to be solved at class 4- Occasionally designing quiz questions

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Formations

  • Doctor of Philosophy (Ph.D.), Computer Science
    Emory University
    2021
    Doctor of Philosophy (Ph.D.), Computer Science
  • Master of Science
    Emory University
    2020
    Master of Science - MS, Computer Science

Compétences (16)

Catégories