David Parise

BSc. in Computing Science / University of Alberta

Curriculum Vitae

About Me

Welcome to my portfolio! My academic journey at the University of Alberta has equipped me with a solid foundation and a passion for the intersection of technology and gaming. Proficient in C#, C++, Python, and Java, my hands-on experience with the Unity game engine has fueled my passion for the possibilities in the gaming industry.
My enthusiasm for game development is rooted in the endless possibilities of combining cutting-edge technology with captivating storytelling. I aspire to contribute to the industry's growth by integrating AI and ML systems to create innovative gaming experiences.

Experience

Research Assistant, University of Alberta

Worked on 2 projects:

  • FORT Lab website development (May 2023 - August 2023) / Wrote custom HTML, CSS, and JS for improved design.
  • Fair Farm game development (September 2023 - December 2023) / Designed and developed core gameplay mechanics on Unity.

Projects

Here's a look at all the exciting projects I've worked on:

Fair Farm

An educational game designed by the FORT Lab that combines farm management gameplay with educational elements focused on teaching the significance of fariness and bias in machine learning.

  • Tools and frameworks used: Unity, Pytorch, C#, Python

Going Merry

An intelligent and adaptable StarCraft 2 Protoss bot capable of making strategic decisions regarding army composition using information gathered from scouting.

  • Tools and frameworks used: C++, SC2API (StarCraft 2 API), Visual Studio Debug Tools, CMake

TrackIt

A habit tracking app for Android with Firebase integration to include social features such as tracking friends' progress.

  • Tools and frameworks used: Android Studio, Firebase, Java, JUnit, Espresso, UML, Storyboarding

Social Distribution

A distributed social network blogging platform that also allows the import of posts from other sources (GitHub, Twitter, etc.)

  • Tools and frameworks used: Python, Django, REST API, React, Typescript, PostgreSQL

Synthetic Fluorescein Angiogram (FA) Data Generation

Research project centered around generating synthetic data to fill gaps in FA scan sequences. Modified a VCGAN to predict missing frames of FA scans given preceding and succeeding images of sequence.

  • Tools and frameworks used: Python, Pytorch, Image Registration and Preprocessing, VCGAN

Education

UNIVERSITY OF ALBERTA, B.Sc in Computing Science
September 2019 - December 2023

Completed coursework in:

  • Object Oriented Design and Programming
  • Data Structures and Algorithms, Database Management Systems, and Information Retrieval
  • Single board microcontroller (Arduino) programming and Computer Architecture
  • Heuristics, Search, and Pathfinding
  • Data Science, Machine Learning, Reinforcement Learning

Publications

Adam Elamy, Jacob Paetsch, David Parise, Shivam Rathore, Abeer Waheed. April 2022. "Generation of Synthetic FA Images Within a Sequence." Preprint.

Get in touch

Thank you for visiting! Feel free to contact me for any further enquiries.