About

My name is Mathias Heider. I am now a rising senior at University of Delaware studying Computer Science with a concentration in Data Science and double majoring in Mathematics and Economics with a minor in Political Science. I currently work in the Computational Research and Programming Lab by Professor Sunita Chandrasekaran. Using data science and machine learning to solve real world problems is a passion of mine especially when applied to sports analytics, bioinformatics, and computational math.

Aside from school and work, play basketball, go on hikes, read books and, watch anime.

Contact:

• mheider@udel.edu
• +1 (302) 273-1210

Research/Projects

Active Projects
• Acute Myeloid Leukmia (AML) and Acute Lymphoblastic Leukemia (ALL) Relapse Prediction, Using machine learning techniques to predict relapse in AML and ALL clinical and gene therapy datasets , w/ Dr. Sunita Chandrasekaran and Mauricio Ferrato

2022
• (To appear) Emory REU/RET Computational Mathematics for Data Science, Learning Ordinary Differential Equations through the use of Hamiltonian Inspired Neural Networks., w/ Dr. Deepanshu Verma, Emma Hayes, Carrie Vanty
  GitHub
• (Course Project) Course Scheduler Using TypeScript and React to make a better Course Planner for Students and Advisors, supervised by Dr. Cory Bart w/ Clay Wilfong and Brandon Grier, CISC275: Software Engineering.
  Website GitHub

2021
• Meeting the Grand Challenges in Engineering Fellow, Data-driven Polymer Nanocomposite Design via the Materials Genome Initiative (NanoMine Data Curation), w/ Dr. Catherine Brinson and Dr. Mike Deagan
  Presentation Video Presentation
• (Course Project) Breast Cancer Prediction Modeling Using Machine Learning to diagnose Breast Cancer, supervised Xi Peng w/ Luke Maccariello, James Cooper, Geoffrey Bonnanzio, CISC484: Machine Learning.
  Presentation

2020
• Center of Composite Material Undergraduate Researcher on TUFF project Using computational techniques to improve throughput and material quality on the TUFF machine line supervised by Dr. Joshua Enszer and Dr. Jenni Buckley w/ Pearce Bragaw, Seth Parker, Jonny Schott, and Tucker Smith supervised by Dr. Joseph Dietzel

2019
• (Course Project) Williams Olefins Plant Explosion Incident Investigation Used techniques and equations to investigate the the Williams Olefins Plant Explosion.
  Presentation

Coursework

• Artificial Intelligence
• Computational Math
• Fundamentals of Optimization
• Senior Thesis

Mathematics / Applied Mathematics / Computer Science / Economics
• Multivariate Calculus
• Mathematical Economic Analysis (Real Analysis)
• Ordinary Differential Equations
• Linear Algebra
• Probability Theory and Simulation Methods
• Discrete Mathematics
• Mathematical Statistics
• Quantitative Micro & Macro Economics
• Econometric Methods and Models
• Machine Learning
• Object-Oriented Programming
• Data Structures
• Introduction to Algorithms
• Machine Organization & Assembly
• Logic for Programming
• Automata Theory
• Introduction to Software Engineering
• Database Systems

• Advanced Topics in Media Communication
• Introduction to American Politics
• Social Movements in Fiction and Film
• Research Methods for Political Science
• Introduction to Political Theory
• Contemporary Political Ideologies

Clubs

• Competitive Programing Club