Colin Murphy

New York, NY · (484) 942-7123 · clnjmurph@gmail.com

Experienced researcher and scientist with skills necessary to participate in dynamic, multidiscipline domains that lie at the intersection of physical science, computer science, and statistics. Advocating for and leading the integration of Data Science and machine learning methodologies in novel and complex systems.

Experience

Data Scientist - Machine Learning Engineer

Cytiva

  • Established model development lifecycle and the deployment scheme for at-scale machine learning applications.
  • Conducted data analysis as needed for New Product Development and Manufacturing Sustainability - anovas, sampling plans, specification alignment, designed experiments as well as more advance techniques like machine learning for predictive modelling and interactive data visualizations.
  • Developed data tools and data applications for use in production and R&D.
  • Conducted experimental design and hypothesis testing for product development and product sustainability.

January 2022 - July 2023

Data Scientist

Johnson and Johnson

  • Led interdisciplinary team of scientists to introduce data collection and exploration for 2 implant cleaning systems.
  • Built data processing pipeline for industrial manufacturing lines.Built random forest classification models to predict the presence of implants in 12 different chemical processing stages.
  • Designed LSTM model for time-series forecasting of solution chemistry - predicting downstream rinse water conductivity for process optimization/sustainability.
  • Parse through archived pdf documents to collect quality related information and build a relationship graph tool.

June 2020 - December 2021

Scientist (Chemistry)

Johnson and Johnson

  • Tasked with managing the Residual Manufacturing Materials Management (RM3) program for all U.S. based manufacturing locations.
  • Manage and coordinate medical device validation testing projects with both internal and external customers.
  • Analyze data and prepare test reports for established Quality Assurance programs.
  • Perform investigate lab testing of medical devices to evaluate cleanliness.

August 2016 - June 2020

Undergraduate Researcher

Temple University

Projects:

  • Patterned Arrays of Gold Nanoframes Using High Resolution E-Beam Lithography (Renewable Energy Lab, College of Engineering)
  • Optical detection of hot electron induced dissociation of H2 on gold nanoparticles (Borguet Research Group, Department of Chemistry)

January 2014 - May 2016

Education

Drexel University

Data Science - Master of Science
GPA: 3.95
March 2019 - June 2022 (expected)
Course Work:
  • DSCI 511 Data Acquisition and Pre-Processing
  • DSCI 521 Data Analysis and Interpretation
  • DSCI 631 Applied Machine Learning for Data Science
  • DSCI 591 & 592 Data Science Capstone I & II
  • CS 510 Intro to Artificial Intelligence
  • CS 590 Privacy
  • CS 613 Machine Learning
  • CS 615 Deep Learning
  • CS 660 Data Analysis at Scale
  • INFO 608 Human-Computer Interaction
  • INFO 648 Healthcare Informatics
  • INFO 633 Information Visualization

Temple University

Chemistry - Bachelor of Science
GPA: 3.70
August 2012 - May 2016

Course Work:
  • General Chemistry
  • Organic Chemistry
  • Physical Chemistry
  • Inorganic Chemistry
  • Analytical Chemistry
  • Biochemistry
  • Crystallography
  • Database & File Management Systems (SQL)
  • Program Design/Abstract (Java)
  • Problem Solving & Programming (Python)
  • Statistics
  • Calculus
  • Linear Algebra

Skills

Programming Languages & Data Science Tools

My primary programming language is Python - through the Anaconda platform I use Jupyter Notebooks (JupyterLab) to perform EDA and preliminary modeling.

For interactive data visualizations I use Tableau for building dashboards and Gephi for graph visualization.

Documentation Languages & Tools
  • Markdown
  • LaTeX
  • Overleaf.com
  • HTML
Data Science & Machine Learning Packages
  • Scikit-learn
  • Keras (TensorFlow backend)
  • Plotly
  • Pandas
  • NumPy
  • Seaborn
  • Matplotlib

Publications & Project Papers

Publications

NewsTweet: A Dataset of Social Media Embedding in Online Journalism. Mujib, M. I., Heidenreich, H. S., Murphy, C. J., Santia, G. C., Zelenkauskaite, A., & Williams J. R. Arxiv Preprint (2020).

Plastically deformed Cu-based alloys as high-performance catalysts for the reduction of 4-nitrophenol. Menumerov, E., Gilroy, K. D., Hajfathalian, M., Murphy, C. J., McKenzie, E. R., Hughes, R. A., & Neretina, S. Catalysis Science & Technology 6, no. 14 (2016): 5737-5745.

Project Papers

E-Weaver: Sustainable Clothing Aggregation and Recommendation System (Part 1: Data acquisition and EDA) - paper available upon request

E-Weaver: Sustainable Clothing Aggregation and Recommendation System (Part 2: Modeling) (Colin Murphy, Matthew Merenich, Dayun Piao, Zifeng Wang) - paper available upon request

Deep Learning and Chemometrics: Quantitative and Qualitative Spectroscopy Interpretation of Aqueous Solutions (Colin Murphy)

The Cryptocurrency Filabuster: an Analysis of Blindly Signed Contracts as a Feather Forking Countermeasure (Colin Murphy)

Classifying Short Text Reddit Posts (Colin Murphy, Mithila Guha, & Angela Mastrianni)

Utilizing Machine Learning to Classify Chronic Disease: Quantifying Biopsychosocial Risk and Resilience (Colin Murphy, Meghan Colosimo, John Obuch, & Fatih Catpinar)

Impact of the COVID-19 Pandemic on BIPOC populations (Colin Murphy, Madhumitha Santhana Krishnan, Nicholas Lawrence, Joshua Lister, & Rebecca Topper)

Patterned Arrays of Gold Nanoframes Using High Resolution E-Beam Lithography (Colin Murphy, Maryam Haifathalian, Carrigan Braun, & Svetlana Neretina)

Interests

Outside of the digital realm I enjoy staying active by running, but my true passion is for cycling. I have been an avid cycler for over 10 years and prefer it as a mode of transportation in the city. I have also participated in the American Cancer Society Philadelphia Bike-a-thon (fundraising event) for the past 10 years - biking 65-100 miles from Philadelphia to Atlantic City

I also like to 'geek out' over analog synthesizers and producing different types of ambient music by experimenting with different soundscapes.

Like many others of my generation, I am very conscious of our impact on our environment and strive to incorporate sustainability into every aspect of my personal life, while also advocating for a more sustainable society as a whole.

Bike-a-thonAnalog Synth

Awards & Certifications

  • Computational Data Science Certification - Drexel University
  • Mental Health First Aid Certification - National Council for Behavioral Health
  • Honorable Mention (top 5) - Temple University - Undergraduate Research Symposium 2014 & 2015
  • Temple University - Shirley and Bernard Brown Scholarship - 2015