プロフィール詳細

プロジェクトを作成

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Dr. Casey J. M.に依頼

United States

Mathematics PhD, MBA | Dynamic Modeling, Astrodynamics, Project Management | Java, Python, MATLAB

プロフィール概要

As a highly skilled mathematician, researcher, and project manager, I bring a unique and analytical perspective to complex problems. With expertise in algorithm development and a passion for problem-solving, I am dedicated to finding efficient solutions that streamline processes and enhance functionality. As a collaborative team-builder, I strive to foster cross-functional communication and drive innovative ideas to fruition. Technical Skills: ▪ Languages: Java, Python, MATLAB, Kotlin, Julia, C++ ▪ Packages: Orekit/Hipparchus/Lang/Utils (Java), NumPy/Pandas (Python) ▪ Source Control, Documentation, Operating Systems: Git/GitHub, LaTeX/Overleaf, MS Office Suite, Google Workspace, Adobe Acrobat, MacOS, Windows, Linux Education: ▪ Doctor of Philosophy, Mathematics, Emphasis on Modeling, 12/2021 ▪ Master of Science, Mathematics, Emphasis on Time Scales, 12/2019 ▪ Master of Business Administration, General Business, xxxxxxx ▪ Bachelor of Science, Mathematics, Minor in Physics, xxxxxxx Experience: Principal Investigator, SpyDar Sensors Inc. (04/2024 – 07/2025) ▪ Served as Principal Investigator for Phase I Navy SBIR Topic N242-083, spearheading the design of a novel launch and recovery system for sea-based operations under real-world constraints. ▪ Successfully secured a $1.4M Phase II contract award by delivering compelling technical results, strategic alignment with Navy needs, and demonstrating program viability to stakeholders. ▪ Produced comprehensive technical reports and delivered live presentations to Navy leadership showcasing system-level modeling, simulation results, and conceptual validation. Research Scientist (Contract), OurSky AI (xxxxxxxxxxxx/2024) ▪ Conducted astrodynamics research exploring the use of models, including Kalman filters and multiple hypothesis tracking, to reduce object misidentification in space surveillance. ▪ Developed software tools to automate the ingestion of satellite ephemeris data for sensor calibration, improving empirical assessment of optical tracking accuracy. ▪ Authored comprehensive technical reports and implementation proposals detailing algorithmic improvements, code architecture, and system integration strategies, with forward-compatible pathways for machine learning augmentation. Research Scientist II, Slingshot Aerospace (xxxxxxxxxxxx/2023) ▪ Researched and developed advanced mathematical theories for applications to space domain awareness to determine functionality in relation to the goals of the company. ▪ Contributed to research and expansion of estimation and optimal control for dynamical systems, enhancing model accuracy and effectiveness. ▪ Built probabilistic and possibilistic frameworks applied to risk assessment and quantification associated with space object tracking to determine the method best suited for product needs. ▪ Applied fundamentals of astrodynamics to satellite orbital motion modeling, prediction, and estimation. ▪ Prototyped algorithms and core astrodynamics libraries for development of stochastic filtering algorithms to be used in the development of core capabilities. ▪ Published internal technical memos on applications of state-of-the-art mathematical advancements and their applications to communicate complex results across the company. Graduate Research, Texas Tech University Department of Mathematics (08/2017 -12/2021) ▪ Created a new approach to modeling a treatment for prostate cancer using dynamic equations to improve the representation of time-data and explore potential alternatives to prior methods. ▪ Unified the theories of discrete fractional calculus and time scale calculus to improve modeling capabilities by over 10%. ▪ Developed a Python-based data cleaning algorithm and a MATLAB-based model analysis algorithm to better understand and represent oncological data. Graduate Part-Time Instructor, Texas Tech University Department of Mathematics (08/2017 -12/2021) ▪ Developed course curriculum and taught non-STEM students in a virtual and classroom setting. Team Lead and Research Assistant, Texas Tech University Department of Physics (xxxxxxxxxxxx/2016) ▪ Acted as the team leader of the High Energy Llano Estacado Detector Collaboration, facilitating weekly meetings and overseeing the installation and use of data acquisition hardware. ▪ Automated the data acquisition pipeline to collect samples of Cherenkov radiation. Developed a C++ algorithm to detect the size, shape, and location of high energy particles using a Monte Carlo simulation.

専門分野

• ☆ Mathematical Biology
• ☆ Statistics
• ☆ Mathematical Statistics
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematics Education
• ☆ Pure Mathematics
• ☆ Calculus
• ☆ Mathematical Analysis
• ☆ Discrete Mathematics
• ☆ Curriculum Planning & Development
• ☆ Python
• ☆ Matlab
• ☆ Java
• ☆ LaTex
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing
• ☆ Science Communication
• ☆ Project Management

サービス

• Writing
• Research
• Consulting

Writing Technical Writing, General Proofreading & Editing

Research Scientific and Technical Research

Consulting Scientific and Technical Consulting

職務経験

Principal Investigator

SpyDar Sensors, Inc.

4月 2024 - 7月 2025

Research Scientist (contract)

OurSky AI

3月 2024 - 10月 2024

Research Scientist II

Slingshot Aerospace

2月 2022 - 5月 2023

Graduate Research and Teaching Assistant

Texas Tech University

2017 - 2021

学歴

Doctor of Philosophy in Mathematics (Mathematics and Statistics)

Texas Tech University

2019 - 2021

Master of Business Administration (Rawl College of Business)

Texas Tech University

2017 - 2018

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Casey J. Mills (2022). An Exploration of Discrete Fractional Calculus with Applications to Intermittent Oncological Modeling. Progress in Fractional Differentiation and Applications.

Casey J. Mills (2020). A Time Scales Approach for Modeling Intermittent Hormone Therapy for Prostate Cancer . Bulletin of Mathematical Biology.