Me
With degrees in computer science and biochemistry, I've always been fascinated by the intersection of technology and human consciousness. My journey began in teaching, where I sought to inspire the next generation. However, the pandemic shifted my focus towards broader impacts, exploring what it means to be conscious, and how we can ensure there will be a next generation.
As a second-year PhD student, my research delves into computational models of decision-making, using real-time dopamine and serotonin data from fast-scan cyclic voltammetry. I'm passionate about developing methods that uncover hidden patterns in human behavior through the lens of neurotransmitters. This approach aims to enhance our understanding and treatment of psychiatric disorders, including addiction, PTSD, and depression. I believe these challenges hinder humanity from reaching its full potential and are at the root of much of the discord in today's society.
In a world facing existential threats from AI, nuclear war, and beyond, understanding the human psyche is more crucial than ever. With advancements in technology like neurostimulation, which can directly alter neurotransmitter levels, we're on the brink of unlocking the mysteries of how these chemicals influence decision-making. This knowledge could usher in a powerful new era for human thought, offering solutions to some of the most pressing issues of our time.
Education
| Ph.D. Neuroscience |
| Wake Forest University School of Medicine |
| 2023 - Present |
| B.S. Biochemistry |
| University of North Carolina - Greensboro |
| 2022 |
| Post-Baccalaureate - Biochemistry |
| University of North Carolina - Greensboro |
| 2014 - 2016 |
| B.A. Computer Science |
| Wake Forest University |
| 2010 - 2014 |
Positions
| Graduate Student |
| Wake Forest University School of Medicine |
| 2023 - Present |
| Research Technician |
| Wake Forest Baptist Medical Center |
| 2021 - 2023 |
| Mathematics Teacher |
| RJ Reynolds High School |
| 2019 - 2021 |
| Medical Transport Supervisor |
| Wake Forest Baptist Medical Center |
| 2015 - 2019 |
Research
Research statement coming soon... Look forward to something cool here about all the research I am working on, plus what I aim to work on in the future.
Research Skills
| Methods |
| Human Fast-Scan Cyclic Voltammetry |
| SR Research Eye Tracking |
| MRI imaging: SPM & FSL analysis |
| Behavioral task design and assessment |
| Administration |
| REDCap & digital eConsent Framework |
| Human Research - IRB management |
| Secure & confidential data management |
| Amazon MTurk data collection |
Data Analysis & Visualization
| Data Analysis |
| Computational Reinforcement Learning Modeling |
| Human FSCV Dopamine & Serotonin analysis |
| Statistical programming & fMRI network analysis |
| Behavioral modeling of learning and subjective rating |
| Bayesian framework and simulation analysis |
| Machine learning |
| Graphic Design |
| Microsoft Office |
| Adobe Suite |
| AutoCAD |
| Maestro by Schrödinger |
Programming
| Python | * * * * * |
| HTML/CSS/JS | * * * * * |
| C/C++ | * * * * |
| Linux/Unix | * * * * |
| Git | * * * * |
| MATLAB | * * * |
| Stan | * * * |
| VBA/SQL | * * * |
Contact & Links
Email is preferred:
ashleyrshipp@gmail.com
Don't Panic!
...your eCards are still here!| Christmas eCard 2023 | Christmas eCard 2021 |
| Christmas eCard 2020 | Christmas eCard 2019 |
...and any other links you might be looking for!
| TEDtorial presentation |
| Everything else <3 |