HOME PAGE Web Site Contents Mars Report Contents Mars Report Abstract CV for Dr. David Roffman Diplomas PhD Thesis PhD Thesis Powerpoint Mars PowerPoint MSL Weather Reports Base on Mars? Seasonal Pressure Altitude Calculations Seismic Activity on Mars? Perserverance Weather Data MSL Years 5-6 Winter MSL Year 5 FALL MSL Year 5 Summer MSL Year 5 Spring MSL Years 4-5 Winter MSL Year 4 FALL MSL Year 4 Summer Weather MSL Year 4 Spring Weather MSL Yr 3-4 Winter Weather MSL Fall Yr 3 Weather MSL Yr. 3 Summer Weather MSL Yr. 3 Spring Weather Martian plume March 25 2017 MSL Ultraviolet 3 YEARS OF MSL UV Desai, EDL, Parachutes & ExoMars Mars winter vs. summer temps Helo to Mars Sea at Utopia Planitia, Mars Tree Stump at MSL? Spherical life on Mars? Mars Report Abstract, 1-1.2 Mars Report Sec.2-2.1 Report 2.2-2.4 Report 2.5-2.5.2 Report 2.5.3-2.7 Report 3-4 Report 4.1-4.1.2 Report 5 to 6 Report  7-7.2.1 Report 8 Report 9 Report 10 Report 11 Global Dust Storm Report 12 Report  13-13.2 Report 13.3-13.5 Report 13.6 Report 14-15 Report 15.1 Report 15.2-15.3 Report 15.4-15.6.2 Report - Report Report 16-16.1 Report 17-20 Report References Rebuttal of REMS Report Running water on Mars MSL Year 0 Weather MSL Yr 2 Winter-Spring Weather MSL Yr 2 Summer Weather MSL Yr 2 Fall Weather MSL Yr 2-3 Winter Weather Adiabatics MSL Hi Temps MSL Low Temps Organic Chem found by MSL Oxygen in Mars Air MSL Day length & Temp Warm winter ground temps 155-Mile High Mars Plume Radiation Diurnal Air Temp Variation Mars Temps Fahrenheit Beagle found JPL/NASA Pressure Mistakes Enter MarsCorrect Sol 370, 1160 & 1161 Histories Mars-Radio-Show JPL Fudges Pressure Curves MSL Temp. ∆ Mast to Ground High & Low Pressures Normalized Mars soil 2% water Moving rock Mars MAVEN MSL Relative Humidity Claim Ashima Concedes Original MSL Weather Record Old MSL Weather Record MSL Summer Weather Pressure Estimate REMS Wind MSL Pressures REMS Reports Curiosity Geology CERN-2013-pics Daylight Math MSL Errors P1 MSL Errors P2 MSL-Chute-Flap MSL daylight Ashima Sols 15 to 111 Ashima Sol 112 to 226 Ashima Sol 227 on New Ashima Sols 270+ MSL Summer to Sol 316 Updated Secrets of Mars Weather Forecast Wind Booms MSL Credibility MSL Temp. Swings MSL Temperatures Sample Analysis at Mars (SAM) VL2 - MSL Ls Comparson Ashima MIT Mars GCM Dust Storm Nonsense Mars Slideshow Moving Sand & Martian Wind 3 DEC12 Press Conf. MSL Press Conf. 15NOV2012 Sol Numbering MSL Pressure Graph to Ls 218.8 MSL Sky Color Mars Sky Color DATA DEBATE! Zubrin's Letter Phoenix Vaisala Vaisala Pressure Sensors Phoenix &MSL Flawed MSL REMS Viking pressure sensors failed MSL landing site Mars Landings Phobos Grunt Martian Air Supersaturation Mars & CH4 Mars and MSL Time Viking Pressure Audit Links Mars Society 2008 Quant Finance Frontiers Home Front. Preface Frontiers Ch. 1 Frontiers Ch. 2 Antimatter Lightning Frontiers Ch. 3 Frontiers Ch. 4 Frontiers Ch. 5 Frontiers Ch. 6 Frontiers Ch. 7 Frontiers Ch. 8 Frontiers Ch. 9 Frontiers Ch 10 Frontiers Ch 11 Frontiers Ch 12 Frontiers Ch 13 Frontiers Ch 14 Frontiers Ch 15 Frontiers Ch 16 Frontiers Ch 17 Frontiers Ch 18 Frontiers Ch 19 Frontiers Ch 20 Frontiers Ch 21 Frontiers Ch 22 World Tour Spring-Break -13 Other Travels Asteroid Impact? ExoMars data Unit Issues Viking Pressures Tavis CADs Landing Long Scale Heights LS of Max/Min Pressures Tavis Report Tavis Failures Lander Altitude Martian Trees? Code Experiment Gedanken Report Mars Nuke? Martian Flares Mach Numbers MOLA (altitude) Original Mars Report Mariner 9 & Pressure Mars  Temps MSL Time MPF Pressure Blog Debates Spring Pendulum Plasma Model Reporting Errors Orbital Parameters Anderson Localization P. 1 Anderson Localization P. 2 Moving rock old Navigating Mars Mars Report Section Links Mars Report Figure Link Gillespie Lake rock outcrop MSL Sol 200 Anomaly Sol 1300&1301 Anomalies Gilbert Levin & Labeled Release Brine on Mars Ceres Lights Yr 1 Table 1 Missing data Mitchell Report Old Mars Report All MPF Temps ExoMars fails Did Spirit find past life? MSL ground temps go haywire OPACITY AT MSL Luminescence on Mars Dust Storms & Microorganisms 2018 Global Dust Storm Links to Sections of the Basic Report

Updated 5/8/2020

Address and phone number: Available upon request to

Objective: Currently I have stable employment as a physicist a Sun Nuclear Corporation in Melbourne, Florida. This CV is posted only because there is wide readership of my articles and I have noticed that my readers often want to know more about me.



• 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


• Major: Physics

• GPA: 3.46/4.00


• 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.

HTML/JAVASCRIPT: Approximately 2 months of experience with using these languages. I only have a basic understanding of them as this knowledge was acquired for personal amusement rather than academic or work reasons.

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 with topics that vary from Martian meteorology to breakthrough propulsion physics to my dissertation work.



• Research involved 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.


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.


(1) Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network

(2) Development and Validation of a Multiparameterized Artificial Neural Network for Prostate Cancer Risk Prediction and Stratification

(3) A multi-parameterized artificial neural network for lung cancer risk prediction.

(4) Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data

(5) Meteorological Implications: Evidence of Life on Mars?

            (6) MARS CORRECT: A Critique Of All NASA Mars Weather Data

            (7) First Annual Update to Mars Correct: Critque of all NASA Mars Weather Data


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, 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, 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, On my dissertation committee.