About Myself

Hello! I am a PhD student in the Computer & Information Science & Engineering at the University of Florida. I am interested in exploring ways to make Machine Learning trustworthy, fair, and safe. I have explored explainability and fairness aspects of Machine Learning to make it fair. I hope to continue exploring this area in future.

I majored in Computer Science from Amirkabir University of Technology (AUT) and graduated with a minor in Mathematics in 2014. At AUT, I worked on research projects about use of reinforcement learning in mobile networking. In my free time, I enjoy reading biographies, cross stich and ride my bike.

My Skills

I have diverse background in domains such as Machine Learning/AI, Human Computer Interaction, and Software Development

Machine Learning

Deep Learning Framework: Tensorflow/Keras (using frequently), PyTorch (using if needed)

Other: python, NLP, Computer vision, reinforcement learning

Human Computer Interaction

Technologies: Dialog fow,Affinity Diagrams, Balsamique, Invision, prototyping, wireframe,task flow

Skills: Qualitative analysis, Quantitative analysis, Hypothesis Testing, Survey Design

Software Engineering

Web Development: HTML5, CSS3, ReactJs, NodeJS, Javascript, jQuery.

Other: Java, Agile methodologies, Heroku, Vercel, Object-Oriented Design

Experience

I have diverse work experience in academics, non-profit organizations and Tech startups related to Machine Learning/AI.

  • Deep Learning Intern
    Geopipe - 17 May, 2021- 6 August,2021

    TBD

  • Tech Policy Fellow
    Electronic Privacy Information Center - 26 May, 2020- 31 July, 2020

    - Developed an open-source Risk Assessment Simulator based on information gathered through multiple FOIA requests. This simulator has been developed using react.js and JavaScript.

    - Evaluated the current differential privacy effort happening at U.S. Census Bureau and bolded the current problems.

    - Investigated the current development of content tracing app and their consequences for Public privacy.

  • Graduate Research Assistant
    Human Experience Research Lab - December, 2017-now

    As a PhD student, I worked on multiple projects about Machine Learning/AI and Human Computer Interaction.

  • ML research assistant
    Department of Health Outcomes & Bioinformatics - Aug 2015-November 2016

    - Analyzed time series data to find the existing trend of using Stimuli drug in Schools.

    - Designed the research agenda and most efficient ways to visualize the data using Tableau.

    - Predicting the readmission rate for patients who over utilize the insurance. Using unstructured four-year ER visits data, I was able to improve the accuracy by %10.

Portfolio

  • All
  • Machine Learning
  • Human Computer Interaction
  • Other

Ethical and fairness study of Predictive Policing

NeighborHood Rides

Fairness-Aware Methodology in Juvenile Recidivism

Application Quest

Sentiment and Trust in AI

AR Therapy

Mobile Decision Aid (MODA)

Trust and QOS optimization in adhoc networks

Awards

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Outstanding International Student Award at UF|2020

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Cornell Summer School on Designing Technology for Social Impact Scholarship|Summer 2021

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Bank of America Travel Award to attend Grace Hopper Celebration|Fall 2020

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Among the three reciepents of Media Democracy Fund fellowship|Summer 2020

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Google travel award for BPDM conference at Howard University|Febraury 2019

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Gartner Graduate Fellowship CISE department at UF|March 2020

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Induction to AEL Top Graduate Student Honor Society | Fall 2019

Certificates

Deep Learning Specialization | July 2019

Concepts: Neural networks, structure of ML projects, CNN, RNN

Certificate Link
AI for Medicine | June 2020

Concepts: MRI segemntation, transfer learning, cox survival analysis

Certificate Link
Google Data Analytics, Currently taking

Concepts: Data cleaning, problem solving, critical thinking, data ethics, and data visualization