CV FOR DAVID ALEXANDER ROFFMAN, PHD, PHYSICS
Address and phone number: Available upon request to firstname.lastname@example.org
Objective: To obtain stable employment either teaching physics or astronomy classes as an assistant professor; or doing research as a data scientist working for government or industry.
DOCTORATE OF PHILOSOPHY| AUGUST 2016 | UNIVERSITY OF FLORIDA
• Major: Physics
• Specialization: Computational Condensed Matter Theory
• Thesis: “Resonant Surface Scattering on Nanowires.” Explored how to reduce thermal conductance in sprayed lattices with disorder as well as skutterudites (cheap thermoelectric materials). Modeling was done in MATLAB.
• GPA: 3.45/4.00
MASTER OF SCIENCE | DECEMBER 2013 | UNIVERSITY OF FLORIDA
• Major: Physics
• GPA: 3.46/4.00
BACHELOR OF SCIENCE | DECEMBER 2011 | EMBRY-RIDDLE AERONAUTICAL UNIVERSITY
• Major: Space Physics
• Minor: Mathematics
• GPA: 3.51/4.00
Skills & Abilities
TEACHING UNDERGRADUATE PHYSICS: I have taught over 36 sections of Physics I labs and lectures, with and without calculus. As a graduate teaching assistant the teaching load was typically 3-4 courses per semester (including every summer except 2013).
MATLAB: I have 7 years of experience using this language, and consider myself an expert at using it. Projects completed utilizing this language included: Programming a multilayered Artificial Neural Network for cancer prediction from scratch, PhD thesis involving heat transfer, molecular dynamics simulations, approximating the solutions to ordinary differential equations (ODEs) and partial differential equations (PDEs), and extracting Viking Lander Martian weather data.
C++: I have about 6 months of experience with this language, and have a moderate level of skill. During the few months spent at CERN as part of a fellowship I filtered large data sets containing the energy of muons. After that fellowship ended, I have used this language on occasion to approximate the solutions to ODEs as well as other basic tasks.
MACHINE LEARNING (ARTIFICIAL NEURAL NETWORKS) AND BIG DATA: As a postdoc at Yale, I needed to be able to create a multi-parameterized model for tumor specific cancer prediction. The result was me learning how to program artificial neural networks from scratch. They have varied in between 1-5 layers with an arbitrary number of neurons per layer with the relevant bias terms. Sample sizes used in my studies were over 500,000 people. Already there are very promising results for some specific cancer types.
MICROSOFT WORD, EXCEL, POWERPOINT: Reports were always written in Word until I learned Latex; now I select the appropriate software for the task. I was required to teach students how to use Excel as part of my lab instructor duties. It was also used to maintain gradebooks, calculate the sunrise and sunset times for a specific location on Mars, and for storing the CDC data I use in my research as a postdoctoral associate. I have used PowerPoint to make presentations for classes, my PhD dissertation, and at International Mars Society Conventions (Speaker 2010 and 2011).
LATEX: I have 2 years of experience in producing pdf documents using this software, and am almost an expert at using it. My PhD thesis document was written in Latex.
EPIC: This program is commonly used to store electronic medical records. I have basic knowledge of how to use it in a read-only manner. This was done with the relevant approval in the context of cancer research. I am very familiar with the HIPPA requirements.
CLASS 3B LASERS: Used one of these and a Fabry-Perot for spectroscopy for 1 month in a senior physics lab. Work was with one partner without supervision of the professor. I know the safety protocols and dangers (risk of blindness) associated with this class of laser.
LEADERSHIP: Elected to the Graduate Student Advisory Council in the University of Florida physics department. When the graduate coordinator tried to impose the new requirement of a mandatory course for all existing students, I fought back because it would have taken away from research time and extended time required to finish degree programs. We came to compromise in which each student’s adviser could sign a waiver for this new course.
WEBSITE ADMIN: I maintain my own website davidaroffman.com with topics that vary from Martian meteorology to breakthrough propulsion physics to my dissertation work.
POSTDOCTORAL ASSOCIATE | YALE | DECEMBER 2016-PRESENT
• The current research involves using big data and machine learning to construct a multi-parameterized model to predict cancer risk and then recommend the appropriate screening methods. Other duties include collaboration with masters’ students, postgraduate researchers, other postdocs, research scientists, professors, and medical doctors to achieve optimal results. Teamwork is essential to success.
GRADUATE TEACHING ASSISTANT | UNIVERSITY OF FLORIDA | AUGUST 2012-AUGUST 2016
• Teaching Labs: I was assigned 3 sections per semester. There was a lab for premeds (non-calculus based) and lab for engineers (calculus based); I have taught both. Typical class size was 18 students per section. I was responsible for all aspects of the Physics I Lab course. This included showing students how to use the equipment, troubleshooting, grading the lab reports, determining what percentage corresponds to what letter grade, and having office hours.
• Teaching Discussion (Lecture): I was assigned 3 premed or 4 engineering sections per semester. Class size per section was 24-32 students (depending on semester and section). Duties included lecturing in Physics I, answering homework questions, creating and grading quizzes, having office hours, meetings with the other TAs and professors, and proctoring exams.
IHEPA FELLOWSHIP AT CERN | UNIVERSITY OF FLORIDA | MAY 2013-AUGUST 2013: I was sent to work at CERN and lived in Switzerland for the summer of 2013 as part of a fellowship I was awarded. Work done was primarily filtering large data sets of muons based on their energies. A software package called ROOT as well as C++ and Linux were used during the course of my work.
Professional Memberships and Conferences:
American Association of Physicists in Medicine (AAPM) Junior Member | March 2017-Present
AAPM conference in Denver 2017 | July 30th – August 3rd 2017
Multi-Parameterized Models for Prostate Cancer Prediction. E-Poster Presentation made on August 1st.
Dr. Selman Hershfield Professor, University of Florida 2001 Museum Road, Gainesville, FL 32611-8440 (office number 2138) 352-392-9387, email@example.com Adviser for my PhD.
Dr. Robert DeSerio, Director of Instructional Laboratories, University of Florida 2001 Museum Road, Gainesville, FL 32611-8440 (office number 1236) 352-392-1690, firstname.lastname@example.org. He was one of my supervisors for lab graduate teaching assistant duties.
Dr. Khandker Muttalib, Professor, University of Florida, 2001 Museum Road, Gainesville, FL 32611-8440 (office number 2140). 352-392-6699, email@example.com. On my dissertation committee.