Open as a PDF

Daniel D. Junghans

danjunghans@gmail.com | linkedin.com/in/DanielJunghans


Education

Michigan State University

East Lansing, MI

Eli Broad College of Business

08/18 – 12/21

Bachelor of Arts, Finance
Cumulative GPA: 3.81/4.00
Dean’s List 6 Semesters

Professional Experience

Board of Governors of the Federal Reserve System

08/21 - Present

Banking, Credit and Operational Risk Intern
• Upon supervisor selection, working in part-time capacity beyond initial summer internship end date throughout the remainder of undergraduate career
• Using causal graph methods on firm liquidity data to create network visualizations and summary measures
• Testing partner analytical products and using Bloomberg to pull market data for supervisory and research purposes

Board of Governors of the Federal Reserve System

05/21 - 08/21

Banking, Credit and Operational Risk Summer Intern
• Constructed an interactive R-Shiny web app now used by Federal Reserve analysts to supervise the activity of systematically important banking entities
• Presented an R-Shiny case study to the Policy Analytics group of the Division of Supervision and Regulation to showcase an example of the technology and its benefits, enabling future implementation of R-Shiny within the section
• Improved finance and data literacy by attending personal development workshops and intern events hosted by the Board of Governors of the Federal Reserve System

Jackson National Life Insurance Company

10/20 - 05/21

Strategic Support Associate
• Designed a process to generate weekly and monthly reports for escalated IT tickets
• Performed analysis on the timeliness and effectiveness of IT solutions
• Supported overall operations by completing daily work for the broker management business unit

National Science Foundation’s BEACON Center

08/19 - 10/20

Research Assistant
• Conducted neural network research under the supervision of Dr. Charles Ofria and graduate student Jose Guadalupe Hernandez
• Collaborated with graduate students to create the Emerging Researchers in Artificial Life workshop for the 2020 Artificial Life conference
• Attended weekly lab meetings and presented the research I conducted to an audience with a diverse background

Michigan State University Summer Research Opportunities Program (SROP)

05/19 - 08/19

Summer Research Assistant
• Worked with a team of graduate students under the supervision of Dr. Charles Ofria to produce high quality evolutionary computation research
• Contributed to a publication in the Genetic Programming Theory and Practice Workshop XVII (2020): “Characterizing the Effects of Random Subsampling on Lexicase Selection”
• Presented my research at the Mid-Michigan Symposium for Undergraduate Research (MID-SURE) at the end of my summer research experience in 2019

Publications & Presentations

Austin J. Ferguson, Jose Guadalupe Hernandez, Daniel Junghans, Alexander Lalejini, Emily Dolson, and Charles Ofria. “Characterizing the Effects of Random Subsampling on Lexicase Selection.” In Banzhaf W., Goodman E., Sheneman L., Trujillo L., Worzel B. (eds) Genetic Programming Theory and Practice XVII (2020).

Daniel Junghans, Alexander Lalejini, Austin J. Ferguson, and Charles Ofria. “Characterizing the Differences Between Selection Schemes that are used in Genetic Algorithms.” Poster at Mid-Michigan Symposium for Undergraduate Research (MID-SURE), July 2019.

Workshops

Daniel Junghans, Austin J. Ferguson, Alexander Lalejini, and Acacia Ackles. “Emerging Researchers in Artificial Life.” Workshop at International Conference for Artificial Life 2020, July 13-18, Montreal, Canada.

Activities & Skills

• MSU Student Investment Association, Co-Portfolio Manager

08/20 - Present

• Environment: PC, Windows, Linux
• Programming Languages: R, Python 3, SQL
• Software: Microsoft Excel, Tableau, Power BI, Power Point, Microsoft Access, Microsoft Word, VeraCrypt