About Me
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,2021TBD
-
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-nowAs 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

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

Outstanding International Student Award at UF|2020

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

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

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

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

Gartner Graduate Fellowship CISE department at UF|March 2020

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 LinkAI for Medicine | June 2020
Concepts: MRI segemntation, transfer learning, cox survival analysis
Certificate LinkGoogle Data Analytics, Currently taking
Concepts: Data cleaning, problem solving, critical thinking, data ethics, and data visualization