ALI HAMZA

ALI HAMZA

Class of 2022
BS Computer Science
Minor: Mathematics
Minor: Philosophy

Aspiration Statement

I want to conduct research in areas relating to energy, climate, or public health. I am also interested in pursuing postgraduate studies in CS theory and mathematics.

Core Skills

  • Quantitative and Qualitative Research
  • Data Analysis, Machine Learning, Deep Learning
  • Microsoft Office
  • Object Oriented Programming
  • R, Python, C/C++, SQL, MongoDB, Java, JavaScript, MATLAB, Stata 13, LaTex, Git, Bash, Linux
  • Data Structures & Algorithms

Experience

Leadership / Meta-curricular

  • Academic Affairs Committee Member
  • Module Head, Zero Hour 3.0 — Omicron 3.0
  • Playground Researcher
  • Board Member, Student Travel Grant Committee
  • Board Member, Student Travel Grant Committee

Internship / Volunteer Work

  • Software Engineer - Lezzoo
  • Full-stack Developer - Home Easy
  • Research Analyst — K-Electric (June 2021 — September 2021)
  • Machine Learning Developer — WWF Pakistan (June 2021 — Septermber 2021)
  • Data Analysis Intern — Red Apple Restaurants (June 2020 — September 2020)
  • Machine Learning Researcher — Virufy (April 2020 — June 2020)

Publications / Creative Projects

  • Poster Published in AKU Biological Symposium 2021

Final Year Project

Project Title

Protein Complex Prediction in PPI Networks via Ensemble Frameworks

Description

My capstone project is an application of Graph Theory, and Learning Algorithms in the field of bioinformatics. The thesis deals with attempting to find meaningful information from a network protein-protection interactions. One of the most important pieces of information that can be acquired from such a network is clusters of interactions that may tell us new things about present known protein-protein interactions and unknown ones. The aim of our project is to develop an algorithm that is able to match or supersede the efficiency and accuracy of present algorithms. The benefit of such an algorithm is that as not all complexes can be identified via experimental methods, computer science becomes paramount in helping biologists reach important conclusive results that they may then use in further work such as drug development.