Christopher Murphy Email & Phone Number

Urbandale, Iowa, United States

During my tenure, I partnered with the Soil Health Institute to create key indices for the Soil Health Dashboard, which promoted sustainable land management practices.Through the development and training of a tillage prediction model for Midwest corn and soy fields, I established a baseline that enhanced data accuracy and supported John Deere's Sustainable Acres Leap Ambition. I presented data-driven sustainability results at the ADP Quarterly meeting, which increased awareness and engagement in sustainable agriculture within the organization.

Johnston, Iowa, United States

In this role, I developed Tableau dashboards that empowered stakeholders to make data-driven decisions, resulting in effective business strategies. My efforts led to streamlined data access and reduced effort for practitioners by creating a leasing data layer and a collections data layer. These initiatives contributed to accurate data queries and overall operational improvements.

In this role, I facilitated in-depth learning for students in Python, Exploratory Data Analysis, Data Visualization, and Physics. My approach promoted active learning and knowledge retention through interactive discussions.Also, I mentored students in advanced problem-solving and analytical skills, fostering sound understanding of complex scientific and computational topics.

As Student Researcher, my research provided new insights into star formation through extensive simulations using High-Performance Computing. This work contributed to a deeper understanding of stellar development processes.Additionally, I developed Python code for real-time analysis of potential transient events in time-domain astronomy surveys which led to faster detection and accuracy in identifying astrophysical phenomena.

I thrived in a fast-paced environment and led team of 4+ in applying advanced object detection techniques, resulting in better surveillance capabilities and safety measures. I was involved in developing multiple object detection models using Python, OpenCV, transfer learning, pre-trained TensorFlow models, and innovative data collection methods, thus contributing to more effective detection and monitoring in physical security.

In this role, I was engaged in the analysis of extensive telescope data sets, leveraging software tools to identify unique patterns and potential technosignatures. I optimized data processing pipelines and implemented new algorithms, which led to efficiency and accuracy in handling vast datasets.In addition, I presented research findings at conferences and workshops, gaining valuable experience in scientific communication and collaboration with leading researchers.

During my internship, I collaborated with a team of PhD scientists and graduate students, gaining proficiency in Python, DS9, Topcat, and NASA ADS. By analyzing optical and NIR emissions, I identified 37 potential optical counterparts within 4 arc seconds of the X-ray source, resulting in accurate astronomical observations.

Master Of Science - Ms, Computer Science

MS in Computer Science, Specialization in Machine Learning

Bachelor Of Science In Physics, Minors In Mathematics, Computational Science