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DILLON FORD

ABOUT

I am a senior undergrad Cognitive Science student at UCSD currently living in Carlsbad, CA. I am interested in data analysis, modeling, and machine learning. My goal is to work in data science and further my understanding of algorithms and machine learning methods. I am looking for a job that aligns with my goals and interests, including but not limited to social media platforms, music, and tech industries. I would be good at this work because I am passionate about data, hardworking, and good at problem-solving.

 

EDUCATION

UNIVERSITY OF CALIFORNIA, SAN DIEGO – SIXTH COLLEGE                                LA JOLLA, CA

Bachelor of Science in Cognitive Science (Machine Learning and Neural Networking)                     Graduation Jun 2021

▪ GPA 3.9 / 4.00
▪ Provost honors standing
▪ Python programming
▪ Completed Coursework: Supervised Machine Learning Algorithms, Artificial Intelligence Algorithms, Data Science, Brain-Computer Interfaces, Vector Calculus, Probability, and Linear Algebra
▪ Anticipated Coursework: Unsupervised Machine Learning Algorithms, Genetic Algorithms, and Decision Making in the Brain

PALOMAR COLLEGE                                                                                                 SAN MARCOS, CA

Associates of Mathematics                                                                                                                                           May 2019

▪ Fulfilled undergrad GE and transfer requirements

 

EXPERIENCE

Work Experience / Lab Experience / Internships / Volunteer

AVENUE MEDICAL EQUIPMENT

Employee - Jan 2019 – Current - Carlsbad, CA

▪ Developed a database to track U.S. Government pharmaceutical bids and purchases used by management to determine appropriate pricing for bids and purchases.

▪ Managed and maintained pharmaceutical databases by updating prices, quantities, and contract awardees.


GMC LINE

Employee - Dec 2017 – Jan 2019 - Poway, CA

▪ Managed and updated database for MediMag product, tracking inventory, and client purchases, helping to move excessively stocked items.

 ▪ Processed incoming client orders by determining material, design, and distribution to appropriate departments.

 

CV

Skills & Accomplishments

DSGN 1. DESIGN OF EVERYDAY THINGS

A project-based course examining how principles from cognitive science apply to the design of things simple (doors) and complex (new technology). Learn about affordances, constraints, mappings, and conceptual models. Learn observational and design skills. Become a human-centered design thinker.

COGS 18. INTRODUCTION TO PYTHON

This class will teach fundamental Python programming skills and practices, including the “Zen of Python.” Students will focus on scientific computing and learn to write functions and tests, as well as how to debug code using the Jupyter Notebook programming environment.

COGS 100. CYBORGS NOW AND IN THE FUTURE

Covers the theories of situated, distributed, enactive, and embodied cognition. Explains how cyborgs are a natural consequence of our current understanding of embodied minds embedded in culturally shaped niches; how mental systems can be distributed over other people and things.

COGS 108. DATA SCIENCE IN PRACTICE

Data science is multidisciplinary, covering computer science, statistics, cognitive science and psychology, data visualization, artificial intelligence and machine learning, among others. This course teaches critical skills needed to pursue a data science career using hands-on programming and experimental challenges.

COGS 118A. SUPERVISED MACHINE LEARNING ALGORITHMS

This course introduces the mathematical formulations and algorithmic implementations of the core supervised machine learning methods. Topics in 118A include regression, nearest neighborhood, decision tree, support vector machine, and ensemble classifiers.

COGS 118B. UNSUPERVISED MACHINE LEARNING ALGORITHMS

This course, with COGS 118A, forms a rigorous introduction to machine learning. Topics in 118B include maximum likelihood estimation, Bayesian parameter estimation, clustering, principal component analysis, and some application areas.

COGS 160. GENETIC ALGORITHMS

This course teaches in detail some of the key biology inspired A.I. algorithms. It  covers genetic algorithms (GA), particle swarm optimization algorithms (PSO), and other optimization algorithms like simulated annealing and gradient descent.

MATH 180A. INTRODUCTION TO PROBABILITY

Probability spaces, random variables, independence, conditional probability, distribution, expectation, variance, joint distributions, central limit theorem.

COGS 188. ARTIFICIAL INTELLIGENCE ALGORITHMS

This course covers a broad spectrum of machine learning algorithms. It builds on students’ previous exposure to machine learning. It covers new artificial intelligence algorithms ranging from topic models as used in the text data analysis to genetic algorithms.

COGS 189. BRAIN COMPUTER INTERFACES

This course will discuss signal processing, pattern recognition algorithms, and human-computer interaction issues in EEG-based brain-computer interfaces. Other types of brain-computer interfaces will also be discussed.

 

PROJECTS

Take a Look

EMPIRICAL ANALYSIS OF SUPERVISED MACHINE LEARNING ALGORITHMS

▪ Implementation of supervised machine learning algorithms to solve classification problems.

▪ Data sets were obtained from UCI Machine Learning Repository. The three datasets explored were, Mushroom Data Set, Heart Disease Data Set, and Drug Consumption Data.

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TEST YOUR STRESS

▪ Interfaced a Neurosky EEG headset with an LED strip via an Arduino UNO board to visually see users stress levels in real time.

▪ Coding for the LED strip and Arduino board was implemented using Arduino IDE and C# was utilized to interface the Arduino board and LED strip with the Neurosky headset.

CORONAVIRUS, A POLITICAL STATEMENT?

▪ This project explores the official COVID-19 message updates from different populous college campuses across the United States. From the nine University of California campuses, located in California, a popular blue state, five college campuses in Texas, a popular red state, and five college campuses in Florida, a well-known swing state, we attempted to measure the sentiments of these campus messages in order to analyze how states with different political ideologies are handling the virus and ensuring the safety and trust of their students.

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AWARDS & HONORS

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CONTACT

Email: dpford@ucsd.edu
Phone number: 435-669-6112

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