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Resume

Experience

Pharmaceutical Machine Learning Data Scientist

April 2023 - Current

Brooksource : Cigna Health Consultant 

Remote, Seattle WA

Applied machine learning and data science expertise in Python, SQL, and visualization tools to analyze medical claims data, unlocking strategic business opportunities aimed at enhancing patient experience within Cigna.

Machine Learning Cheminformatics Intern

November 2021-January 2023

Harmonic Discovery

Remote, Seattle WA

• Analyzed large chemical datasets (2.3M entries) and designed machine learning models and algorithms to fragment and classify small ligands. –CheMBL, Protein Databank, KinFragLib dataset, Proprietary manually curated datasets, Random Forest, Logistic Regression, BRICS algorithm, RECAP Algorithm, Python, Keras, Bash Scripting, RDkit, SMILES (Accepted talk and poster presentation at America Chemical Society 2022)

• Researched, deployed, and managed Pytorch and Tensorflow generative models to aid in novel ligand design for drug discovery • Modified scripts for easy integration in the company’s drug screening pipeline.

• Maintained GitLab repositories and documentation

Graduate
Research Associate

June 2020-December 2022

Human Centered Artificial Intelligence Research Lab -University of Central Florida

Orlando, Florida FL

  • COVID-19 Project: Multi-disciplinary project to design and validate different machine learning piplelines that rank the binding affinity of small molecules while overcoming insufficient data problems. Validation of molecular rank was proven successful, speeding up the process for drug selection for further in-lab test. Python, BindingDB, keras, DeepChem, DeepPurpose, RDkit, SQL, LLM

  • Fear Simulator Project: development of an augmented reality fear simulator based on psychology studies. Goal was to in the future be used as a tool for PTSD. Inspired partnership with VARLAB. AR, C++, Google Cardboard, Android OS, Unity

  • NASA SUITS Competition – proposal on graph algorithms for navigation to aid team at UCF to develop a user interface utilizing an HMD device in augmented or mixed reality to assist crewmembers with EVA responsibilities and tasks during a lunar mission. Outcome UCF was one-of-seven schools across the country to be selected for the competition.

Computer Science Intern

July 2020-June 2022

FastVDO

Melbourne, Florida FL

  • Worked on multiple D.o.D. funded contracts including: computer vision challenges to increase video quality and detect and track objects using protected data. Python, C++, Matlab

  • Development (front end and back end) of video quality assessment application using different video quality assessment algorithms. C++, Visual Studios, Video Codecs, Matlab, Python, VMAF, Neural Networks, Linear Regression

U.S. Air Force Faculty Fellow 

Summer 2020

U.S. Air Force Research Lab and UCF

Remote, Rome NY

  • Camouflage Detection Project: Implemented convolutional neural network with attribute attention, and image segmentation to classify and find camouflage in video and in images. -Python, CNN, CAMO dataset, manual curation of data, k-means-clustering, computer vision

Education

Masters of Science Computer Science

University of Central Florida

72 credits towards PhD

Orlando, FL

72 Credits towards my PhD. Parted early with my Masters in Computer Science 

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Relevant Courses: Machine Learning, Logistic Regression, Artificial Intelligence and Knowledge Acquisition, Computer Vision, Modelling Neuronal Systems, Evolutionary Computation, Machine Learning Methods for Bioinformatics, Molecular Modelling, Multi-Agent Systems, Quantum Modeling

Bachelors of Science Computer Science 

University of Washington

Tacoma, Washington

  • Undergraduate Research: IoT and Sensitivity Analysis

  • ASUWT School of Information Technology Senator

  • Student Technology Funds Committee

  • Math Club Vice President

  • Husky 100

Certificates and Professional Courses

Introduction to Cheminformatics and medicinal chemistry

Udemy Certificate

  • Units to describe biological activity

  • An overview of drug discovery

  • An introduction to cheminformatics

  • The SMILES representation of chemical structures

  • Small molecule databases

  • Physical chemical features that may influence oral bioavailability of drugs

  • Softwares to analyze physical chemical features of compounds

  • Strategies to change the structure of bioactive compounds

Tales of the Genome

Udacity Course

  • Genetic Understanding: Acquired foundational knowledge in genetics, comprehending the significance of DNA as the fundamental code of life and its role in human biology and traits.

  • Human Genome Insight: Explored the complexities of the human genome, understanding its structure, composition, and the dynamic nature of genetic information across various cell types.

  • Data Interpretation Skills: Developed proficiency in interpreting genetic data, understanding nucleotide coding (A, T, G, C) and the correlation between genomic information and individual traits.

  • Impact Assessment: Explored the impact of genetic traits on individuals and society, examining personal stories related to conditions like lactose intolerance, dwarfism, breast cancer, and bipolar disorder.

  • Application of Genetics: Gained insights into connecting genomic data to human characteristics, appreciating the intricate interplay between genetics, traits, and overall human identity.

  • Interdisciplinary Knowledge: Bridged genetics with health, identity, and societal implications, integrating biological concepts with real-world implications for personal health and broader societal understanding.

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