Curriculum Vitae

Below is my comprehensive CV, it was approved by DoD, this will be updated regularly and also posted on the Linkedin website.

I also have a teaching resume which is more geared for looking for instructional positions. (THIS IS THE SAME RESUME ON THE "Curriculum Vitae" menu)

JAMES MICHAEL ROSADO

Email: jarosado0911@gmail.com 

Temple University Email: tuh36651@temple.edu

Website: https://sites.google.com/view/james-rosado-site2

Linkedin: https://www.linkedin.com/in/rosado-james-3239b2119/

github: https://github.com/jarosado0911 

google scholar:  James Rosado Google Scholar Profile

EDUCATION

• Sep. 2017 – June 2022 Doctor of Philosophy (Ph.D.) in Mathematics, Temple University, Philadelphia, PA

• Sep. 2012 – June 2016 Master of Arts (M.A.) in Mathematics, Rowan University, Glassboro, NJ

• Sep. 2008 – Sep. 2009 Teacher of Mathematics Certificate, NJ Department of Education, Trenton, NJ

• Sep. 2003 – June 2007 Bachelor of Science (B.S.) in Electrical and Computer Engineering, Rutgers   University, New Brunswick, NJ

• Sep. 1999 – June 2003 High School Diploma, Pitman High School, Pitman, NJ

SUMMARY

• Holds Top Secret/SCI clearance since 2021

• Applied Research Mathematician with over 10 years of experience

• Projects range from pure theoretic mathematics to designing software used in computational neuroscience research and classrooms

• Experienced with various systems which include: MacOS, Linux: RedHat and CentOS, Windows

• Programming experience: C/C++, Shell, MatLab, Mathematica, Java, LUA, C#, Unity, Python

• Experienced using Python based AI/ML modules: Scikit-learn, word2vec, TensorFlow, PyTorch

• Experienced using C/C++ based parallelization libraries: MPI and OpenMP

• Experienced using common development technologies: Git, GitHub, GitLab, Atlassian Bitbucket

WORK EXPERIENCE

Sep. 2022 to Present U.S. Government/ Department of Defense/ National Security Agency

Maryland, USA

• Applied Mathematician conducting research and actively coding implementations across different branches of the agency.

• Holds TS/SCI clearance.

• Developed advanced understanding of bash and shell scripting.

• Implemented publicly known graph based query algorithms.

• Worked with developers of graph based query software at Lawrence Livermore National Lab (LLNL).

• Implemented article recommendation systems via known ML algorithms using Python modules.

• Time off award for Software Engineering Performance for advanced coding practices.

• Monetary award for Software Engineering Performance involving advanced query base algorithms

• Performance coin award for work completed on ML based recommendation systems.

• Authored internal technical paper on article recommendation systems.

Summer 2021 NSA Graduate Mathematics Program Summer Internship

Maryland, USA

• Collaborated with a team of fellow graduate interns and NSA/DoD employees.

• Implemented and measured accuracy of Neural Networks and binary classifiers designed to detect/classify authentic and synthesized speech.

• Developed algorithms to detect synthesized speech using Bispectrum Analysis and Topological Data Analysis.

• Received Top Secret Sensitive Compartmented Information clearance.

• Co-authored an internal technical paper with results of our research.

• Conveyed highly technical results to an executive audience.

• Prepared briefing on results for the Director of the National Security Agency.

Sep. 2019 – Sep. 2022 Researcher at the Center for Computational Mathematics & Modeling (C2M2)

Temple University, Philadelphia, PA

• Developed efficient immersed virtual reality (VR) environment with real-time interaction of biological neurons in small neuronal networks (Neuro-VISOR), Virtual Interactive Simulation of Reality

• Implemented sparse numerical solvers for efficient solving of PDE based Hodgkin-Huxley formalism for neuron electrical signal propagation.

• Implemented neuron synapse equations for real-time interaction of small neuronal networks.

• Implemented parallelism by process threading for efficient numerical solving of small networks of neurons.

• Utilized known programming practices in C# and Unity3D VR environment for efficient code implementation.

• Currently used in neuroscience classroom settings to demonstrate the behavior of small neuronal networks.

• Currently used in neuronal simulation of small neuronal networks to predict behavior of electrical propagation.

• Implemented mesh generation software (Python) for the generation of VR neuronal mesh via parallel transport of neuron geometry contours.

• Collaborated with students, researchers, and professors at Temple University.

• Coordinated efforts on project objectives and led weekly team meetings.

• Maintained project on GitHub.

Sep. 2018 – Sep. 2022 Researcher in the Queisser Research Group 

Temple University, Philadelphia, PA

• Co-developed software to model the effects of neuron intracellular calcium dynamics in the presence of electric fields induced by transcranial magnetic stimulation (TMS).

• Developed a pipeline for executing ultrastructural numerical simulations on neuron spine-to-dendrite calcium dynamics utilizing uG4 (unstructured grid 4) software framework.

• Developed a pipeline using domain decomposition methods, finite volume/element implementations coupled with massive parallelism via message passing interface (MPI).

• Utilized HPC resources at Temple University for the execution of numerical simulations.

• Awarded 3 years in a row NSF HPC compute time via the XSEDE (Extreme Science and Engineering Discovery Environment) consortium and utilized San Diego Supercomputer (SDSC) HPC services EXPANSE and COMET

  • • 2022 DMS200031, “Ultrastructural Calcium Simulations in Neurons”, 500,000 Core-hours (EXPANSE)

    • 2021 DMS200031, “Ultrastructural Calcium Simulations in Neurons”, 500,700 Core-hours (EXPANSE)

    • 2020 DMS200031, “Ultrastructural Calcium Simulations in Neurons”, 800,000 Service units (COMET)

• Collaborated with researchers at the University Minnesota, Temple University, and University of Freiburg, Germany.

• Mentored students on computational neuroscience projects and coordinated with undergraduates the project objectives and led project meetings.

• Maintained project on GitHub.

• Awarded funding by NIH to attend Brain Initiative summer school at the University of Missouri.

Sep. 2017 – June 2022  Graduate Teaching Assistant 

Temple University, Philadelphia, PA

• Instructed and graded mathematics courses

• Proctored examinations

• Mentored students on computational neuroscience projects, mentoring through graduate talks, SIAM talks/events, and undergraduate math club talks.

• Designed curriculum, syllabi, midterm examinations and quizzes

• Set up course websites using Blackboard and Canvas

• Collaborated with professors to improve and implement effective instruction practices.

• Piloted graduate student teaching experience

• Attended coordinated course meetings and provided feedback

• Volunteered as mathematics tutor for Calculus courses and algebra courses at Math Consulting Center (MCC)

Sep. 2012 – June 2016 Mathematics Researcher

Rowan University, Glassboro, NJ

• Developed an algorithm to partition mathematical structures (from linear algebra) called Finite Frames.

• Partition algorithm implemented in Mathematica.

• Developed a methodology for evaluating non-trivial definite integrals via complex analysis techniques.

• Attended conferences to present work at University Symposia to attract more students to the Rowan University research group.

• Algorithms were published in academic journals.

• Work presented at the Joint Mathematics Meeting (JMM).

Sep. 2016 – June 2017 Adjunct Professor

Rowan University, Glassboro, NJ

• Adjunct Professor of instruction for evening Calculus I courses.

• Designed lectures, lecture notes, and interactive lessons.

• Designed/Graded assessments which include examinations, quizzes, and daily assessments.

• Provided abundant office hours before and after class.

• Provided ample review sessions for examinations.

• Provided frequent student feedback via email communications and website communications.

• Maintained and updated Canvas website on a daily basis.

• Utilized announcement features on Canvas to provide course updates.

Sep. 2009 – June 2017 High School Mathematics Teacher

Clearview Regional School District, Mullica Hill, NJ

• Certified mathematics teacher for 9th – 12th grade.

• Designed lessons to be interactive and student oriented.

• Designed and implemented NJ Core Content Standards into lessons.

• Attended district professional development events include NJEA teacher conventions.

• Attended workshops on implementing “Accountable Talk” in the classroom.

• Attended workshops on incorporating technology into the classroom, such as TI-84 calculators and Geometer’s Sketchpad software.

• Collaborated with colleagues to design coordinated examinations.

• Provided night school instruction and homebound instruction.

• Co-taught courses with special education teachers to meet student needs.

• Designed lessons to fulfill IEP and 504 accommodations.

• Provided after school hours for tutoring and extra help.

• Participated in extracurricular activities: Mr. Clearview, track/field timer, dance chaperoning, and event security.

• Actively communicated to parents via phone calls, emails, and website messaging.

• Tracked student progress via PowerSchool and PowerTeacher.

• Regularly participated in student recognition through National Honor Society awards, college letter of recommendations, and selection of students of the month.

• Mentored Rowan University education majors by providing feedback, observations, practice lessons, and experiential learning in an active High School setting.

Sep. 2011 – June 2016 Private Tutor

Gloucester County, NJ

• Provided one-on-one tutoring and instruction to local county students.

• Coordinated scheduling with parents.

• Provided hands-on lessons and practice.

• Discussed with parents their child’s progress.

• Utilized manipulatives to teach grade school topics through high school grade topics.

• Provided mentoring on career goals and potential fields of study.

PUBLICATIONS

• Rosado, James Michael (2022). Doctoral Dissertation: “Ultrastructural Neuronal Modeling of Calcium Dynamics under Transcranial Magnetic Stimulation.” Temple University Libraries.

• Rosado, James Michael (2016). Masters Thesis: “Partitions of Finite Frames.” ProQuest Theses and Dissertations, Rowan University, Glassboro, NJ.

• Rosado J. M., Borole P.R., Neal M., and Queisser G. (2023). “Neuronal Resilience and Calcium Signaling Pathways in the Context of Synapse Loss and Calcium Leaks: A computational and modeling study and implications for Alzheimer’s Disease.” In SIAM Journal on Applied Mathematics (Vol. 83, Issue 6, pp. 2418-2442). Society for Industrial & Applied Mathematics (SIAM).

• Rosado J. M., Shirinpour S., Hananeia N., Tran H., Galanis C., Vlachos A., Jedlicka P., Queisser G., and Opitz A. (2021) “Multi-scale modeling toolbox for single neuron and subcellular activity under Transcranial Magnetic Stimulation.” In Brain Stimulation (Vol. 14, Issue 6, pp. 1470-1482). Elsevier BV.

• Rosado J. M., Bui V. D., Haas C. A., Beck J., Queisser G., Vlachos A., “Calcium modeling of spine apparatus-containing human dendritic spines demonstrates an ‘all-or-nothing’ communication switch between the spine head and dendrite.” PLOS Computational Biology, April 2022.

• Rosado J. M., Nguyen H. D., and Cao L., “Partitions of Equiangular Tight Frames,” Linear Algebra and its Applications. Vol. 526, pp. 95-120, March 2017.

• Rosado J. M., and Osler T., “A table of definite integrals from the marriage of power and Fourier series,” Scientia, Vol. 26, pp. 77-82, August 2015.

DEVELOPED SOFTWARE

• 2018 – 2022, C2M2, Temple University, Neuro-VISOR (Virtual Interactive Simulation of Reality), applications in computational neuroscience, real-time simulation of neuron electrical dynamics in a VR environment, https://github.com/c2m2/Neuro-VISOR

• 2018 – 2019, OpitzLab, University of MinnesotaNeuron Modeling for TMS (NeMo-TMS), a toolbox for multi-scale modeling of the effects of Transcranial Magnetic Stimulation on single-neurons, https://github.com/OpitzLab/NeMo-TMS

• 2021 – 2023, Queisser Group, Temple University, CalcSim, MatLab simulation code for modeling intracellular calcium dynamics of single neurons, https://github.com/NeuroBox3D/CalcSim

• 2022 to Present, Queisser Group, Temple University, PythonNeuronMesh, software for generating surface meshes from 1D models of neurons, https://github.com/jarosado0911/PythonNeuronMeshes

UNDERGRADUATE RESEARCH

Summer 2005 Undergraduate Engineering Research

College of Engineering, Rowan University, Glassboro, NJ 

• Designed transistor based replica of leech heart interneuron.

• Used the Hodgkin-Huxley based formulas as a basis for transistor array design.

• Investigated the application of Mentor Graphics FPGA (Field Programmable Gate Array) Advantage software to teach and for experimentation.

June 2000 – June 2003 Undergraduate Research

College of Humanities and Social Sciences, Rowan University, Glassboro, NJ

• Conducted archaeological conservation at the Archaeology Museum of La Serena, Chile.

• Designed a computer program to determine human stature based on measurements of archaeological remains, using statistical paradigms.

• Participated in the mapping of an archaeological site.

June 2004 Undergraduate Research (abroad)

Universidad Catolica Del Norte, Coquimbo, Chile

• Analyzed and translated ChemCAD software to develop cultivation systems for the growth of shellfish.

• Learned about the farming process of shellfish.

AWARDS

DoD/NSA Awards

• 2024 Performance Coin Award: Work completed on ML based recommendation systems.

• 2023 Time Off Award: Software Engineering Performance for advanced coding practices.

• 2023 Monetary Award: Software Engineering Performance involving advanced query based algorithms.

National Science Foundation HPC Awards

• 2022 XSEDE Compute Research Award: $2,440 award

• 2021 XSEDE Compute Research Award: $2,440 award

• 2020 XSEDE Compute Research Award: $12,873 award

Temple University Awards

• Mar. 2022 Dissertation Completion Grant: $8,750 award

• May 2020 First Summer Research Initiative Award: $6,000 award

• May 2022 Jay Novik Graduate Student Fellowship: $5,000 award for exceptional Performance in the Graduate Mathematics Program

• Summer 2019 NIH Brain Initiative Summer School Funding Award

• Jan. 2019 Mathematics Department Excellence in Teaching Award: $500 award

• Nov. 2018 SIAM Recognition: Leadership and coordination of SIAM Chapter activities

Rowan University Awards

• 2015 – 2016 Certificate of Achievement in Mathematics for JMM participation and publishing.

• 2014 – 2015 Certificate of Achievement in Mathematics for JMM participation.

Rutgers University Awards

• 2003 – 2007 Edward J. Bloustein Distinguished Scholar

PRESENTATIONS

• June 2022, J. Rosado, “Ultrastructural Neuronal Modeling of Calcium Dynamics Under Transcranial Magnetic Stimulation.” Doctoral Defense, Temple University, Philadelphia, PA.

• Oct. 2021, J. Rosado, “Neuron Dendritic Spines: Modeling Calcium Communication.” Temple University College of Science and Technology Research Mixer, Temple University Philadelphia, PA.

• May 2021, J. Rosado, “Hodgkin-Huxley Conductance Based Model: From 1D to 3D.” Temple University Numerical PDEs Course, Temple University, Philadelphia, PA.

• Jan. 2021, J. Rosado, “Applied Mathematics: Modeling Neuronal Electrical and Ion Dynamics.” Temple University, Philadelphia, PA.

• Dec. 2020, J. Rosado, “PDE Based Image Reconstruction.” Temple University Numerical PDEs Course, Temple University, Philadelphia, PA.

• Nov. 2020, J. Rosado, “Modeling an Action Potential and Neuronal Behavior.” Temple University Graduate Seminar, Temple University, Philadelphia, PA.

• Jan. 2020, J.  Rosado, “An Investigation of Spine to Dendrite Calcium Communication.” Temple University Applied Mathematics Seminar, Temple University, Philadelphia, PA.

• Oct. 2019, J. Rosado, “Inner Workings of a Neuron: A Mathematical Perspective.” Temple University Math Club, Temple University, Philadelphia, PA.

• May 2019, J. Rosado, “A Walk Through Calculus of Variations.” Temple University Methods in Applied Mathematics Course, Temple University, Philadelphia, PA.

• Dec. 2018, J. Rosado, “Sturm-Liouville Theory: An Example.” Temple University Methods in Applied Mathematics Course, Temple University, Philadelphia, PA.

• March 2018, J. Rosado and T. Osler, “A table of definite integrals from the marriage of power and Fourier series.” At EPaDel Spring Section Meeting, Philadelphia, PA.

• Fall 2017, J. Rosado, “Partitions of Equiangular Tight Frames.” Temple University Graduate Student Seminar, Temple University, Philadelphia, PA.

• Jan. 2017, J. Rosado, H. Nguyen, and L. Cao, “Partitions of Equiangular Tight Frames.” At Joint Mathematics Meeting, Atlanta, GE.

• May 2016, J. Rosado, H. Nguyen, and L. Cao, “Partitions of Equiangular Tight Frames.” At Rowan University STEM Symposium, Glassboro, NJ.

• April 2016, J. Rosado, “Frame Partitioning Algorithms.” Master’s Thesis Presentation, Rowan University Mathematics Department, Glassboro, NJ.

• May 2015, J. Rosado and T. Osler, “A table of definite integrals from the marriage of power and Fourier series.” At Rowan University STEM Symposium, Glassboro, NJ.

• Aug. 2015, J. Rosado and T. Osler, “A table of definite integrals from the marriage of power and Fourier series.” At MAA Mathfest, Washington D.C.

• May 2015, J. Rosado and T. Osler, “A table of definite integrals from the marriage of power and Fourier series.” At Sigma Xi Research Symposium, St. Joseph’s University, Philadelphia, PA.

• Jan. 2015, J. Rosado and T. Osler, “A table of definite integrals from the marriage of power and Fourier series.” At Joint Mathematics Meeting, San Antonio, TX.

SKILLS

• Microsoft Office: MS Word, MS PowerPoint, MS Excel

• Software: LaTex, MatLab, Mathematica, Sage, Maple, C/C++, Python, LUA, JAVA, C#, Unity3D

• Collaboration Tools: Skype and Zoom

• Software Development: Git, GitHub, GitLab, Atlassian Bitbucket

• LaTex: Design of Syllabi, academic articles, lecture notes, beamer presentations, posters

• Geometer’s Sketchpad, TI-84 Graphing Calculator

• Maintaining websites through Canvas, Blackboard, and Google Classroom

• Utilizing PowerSchool and PowerTeacher to track student progress

• Strong communication skills via email, phone calls, in person meetings, and group meetings

• Designing interactive lessons and modifying lessons “on-the-go”

• Designing curriculum, lessons, and assessments to reflect 21st century skills

• Utilizing interactive white boards

PROFESSIONAL AFFILIATIONS

• Sep. 2018 – June 2022, Temple University SIAM Chapter President

• Sep. 2018 – June 2022, Temple University SIAM Chapter Member

• Sep. 2018 – June 2022, SIAM Member and journal subscriber

• Sep. 2017 – June 2022, American Mathematical Society (AMS)

• Sep. 2017 – June 2022, Mathematical Association of America (MAA)

• Sep. 2015 – June 2017, Rowan University Pi Mu Epsilon Chapter Member

• Sep. 2015 – June 2017, Pi Mu Epsilon Member

• Sep. 2008 – June 2017, New Jersey Education Association (NJEA) Member

• Sep. 2008 – June 2017, Clearview Regional Education Association Union Member

• Sep. 2006 – Sep. 2008, IEEE member and journal subscriber

LANGUAGES

• English: Native Language

• Spanish: Conversational and written

HOBBIES

• Reading books: neuroscience, mathematics, sci-fi, history poetry, biographical, philosophy, high fantasy

• Writing mathematical articles, writing poetry, drawing and painting

• Personal fitness, running, weight lifting, hiking

• Attending baseball games (Orioles and Phillies) and football games (Ravens and Eagles)

• Video games and board games

• Restaurant hopping, breweries, wineries, traveling the continental US, and traveling abroad