The Department of Mathematical Sciences is pleased to present the Exploring Careers in Mathematics series. This series showcases the many career paths that a mathematics major can choose from and how a strong foundation in mathematics and statistics can help one’s career goals.  

 
 

Wednesday, November 17th,  from 11:20 AM to 12:20 PM, BSB Room 418. Also available on Zoom: http://tinyurl.com/camden-mathlab

The department of Mathematical Sciences invites you to join us for the Exploring Careers in Mathematics session presented by Dr. Daniel Cargill. 

Please come and join us to hear Daniel Cargill, a Rutgers-Camden alumnus, speak about how a strong foundation in mathematics has helped him in his career goals. Daniel is a Senior Member of Engineering Staff at Lockheed Martin, where he is a lead analyst and developer for the Laser Weapon System Simulation. He earned his B.S. in Mathematics and Economics from the University of Delaware, his M.S. in Industrial Mathematics at Rutgers – Camden, and his Ph.D. in Mathematical Science from the New Jersey Institute of Technology. While working on his doctorate, Dan had internships with Bell Labs and the Air Force Research Laboratory, and was later employed as an Operations Research Analyst with the U.S. Air Force prior to his current position.

Dan currently teaches Mathematical Modeling at Rutgers University–Camden and is a resident of Moorestown, NJ.


Monday October 25th from 11:20 AM to 12:20 PM – BSB Room 418

The department of Mathematical Sciences invites you to join us for the Exploring Careers in Mathematics session presented by Nick Sanchirico. 

Nick will speak about how a strong foundation in mathematics has helped him in his career goals. Nick is currently a data scientist/software engineering consultant for Actalent Services. He has years of experience in the defense industry working for companies Lockheed Martin and Two Six Technologies. In his current role, Nick carries out analyses for the U.S. Navy’s Aegis Combat System to help evaluate system performance. A large part of this work involves writing new tooling and optimizing existing software to maximize efficiency and impact. Nick is also a part-time lecturer for the Department of Mathematical Sciences, specializing in scientific computing and data visualization.