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Mani Sotoodeh

Healthcare Informatics Researcher | Machine Learni
  • Suggested rate
    €800 / day
  • Experience0-2 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Mani's quote.
Location and workplace preferences
Location
Montreal, Canada
Can work onsite in your office in
  • and around Montreal (up to 50km)
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14Repos
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Skill set (16)
Mani in a few words
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.
Experience
  • Université de Montréal
    Postdoctoral Fellow
    RESEARCH
    August 2021 - Today (3 years and 7 months)
    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
    June 2018 - August 2021 (3 years and 2 months)
    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
    August 2016 - May 2018 (1 year and 9 months)
    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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Education
  • 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
  • Bachelor of Engineering
    University of Tehran
    2015
    Bachelor's Degree, Engineering Science- Engineering Mathematics with a focus on Telecommunication Engineering