Hello
I'm Allison (Pinosky) Gaines,
a Robotics and Machine Learning Engineer
Chicago, IL
Postdoc Researcher
Northwestern University
2024-Present
Building real-time sensor-agnostic perception models for robot learning.
PhD Student
Northwestern University
2019-2024
Developed algorithms and hardware benchmarks for active learning, reinforcement learning, and perception models in the context of robotics.
Associate Technical Staff
MIT Lincoln Laboratory
2017-2019
Systems Engineering Group:
Obtained internal funding to mature a systems analysis tool for SmallSat design. Established project milestones, conducted early-stage trade studies, and developed system validation framework.
Rapid Prototyping Group:
Mechanical lead for a DoD payload. Conducted a system design study. Developed prototypes, drawings, test campaigns, and sell-off material. Managed technicians, designers, and contractors. Collaborated with other system leads to define interfaces, risks, and needs.
Teaching Assistant
Northwestern University
2022
Teaching assistant (Fall) & grader (Spring) for Machine Dynamics course. Planned and facilitated office hours (3x/week), graded bi-weekly homework assignments, and taught several lectures throughout the quarter.
Assistant Technical Staff
MIT Lincoln Laboratory
2015-2017
Systems Engineering Group: Screened CCDs, designed cabling, developed assembly procedures, completed V&V tasks, and led payload cable installation at satellite integration for the camera payload for NASA’s Transiting Exoplanet Survey Satellite (TESS).
Teaching Assistant
UNC Chapel Hill
Spring 2015
Teaching assistant for Signals & Systems course. Planned and facilitated weekly lab sessions and bi-weekly office hours to complement coursework. Graded homework assignments and tests.
Research Assistant
UNC Chapel Hill
2013-2015
Worked with Professor Catarina Gallippi. Developed simulation of shear wave propagation in tissue. Applied signal separation techniques to simulate ultrasound return data to delineate structure & composition of tissues.
Research Assistant
ASSIST Center at North Carolina State University
Summer & Fall 2014
Worked with Professor Alper Bozkurt. Helped design a wearable, low powered pulse oximetry device to monitor environmental and personal health parameters. Improved PCB hardware and data acquisition software to integrate new nanotechnology enabled sensors.
Business Analyst Intern
Wix.com
Summer 2013
Developed and disseminated Key Performance Indicators to management, product, and marketing teams Conducted business analysis and strategy development tasks. Advanced Wix’s SEC filing and pre-IPO activities.
NoodleBot: A Hardware Swimmer Benchmark for Reinforcement Learning
A. Pinosky, T.A. Berrueta, O. Li, T.D. Murphey
In Preparation. 2025.
Single-Shot Embodied Robot Learning From Scratch
A. Pinosky
PhD Thesis, Northwestern University. 2024.
Embodied Active Learning of Generative Sensor-Object Models
A. Pinosky, T.D. Murphey
International Symposium of Robotics Research (ISRR). 2024.
Maximum diffusion Reinforcement Learning
T.A. Berrueta, A. Pinosky, T.D. Murphey
Nature Machine Intelligence. 2024.
Safe Coverage for Heterogeneous Systems With Limited Connectivity
A.T. Taylor, T.A. Berrueta, A. Pinosky, T.D. Murphey
IEEE Robotics and Automation Letters. 2024.
Hybrid Control for Combining Model-based and Model-free Reinforcement Learning
A. Pinosky, I. Abraham, A. Broad, B. Argall, T.D. Murphey
The International Journal of Robotics Research. 2022.
Scale-invariant specifications for human-swarm systems
J. Meyer, A. Prabhakar, A. Pinosky, I. Abraham, A.T. Taylor, M. Schlafly, K. Popovic, G. Diniz, B. Teich, B. Simidchieva, S. Clark, T.D. Murphey
IEEE Transactions on Field Robotics. 2024.
Scale-Invariant Fast Functional Registration
M. Sun, A. Pinosky, I. Abraham, T.D. Murphey
The International Symposium of Robotics Research. 2022.
A Game Benchmark for Real-Time Human-Swarm Control
J. Meyer, A. Pinosky, T. Trzpit, E. Colgate, T.D. Murphey
IEEE International Conference on Automation Science and Engineering (CASE). 2022.
Hybrid control for Learning Motor Skills
I. Abraham, A. Broad, A. Pinosky, B. Argall, T.D. Murphey
Workshop on Algorithmic Foundations of Robotics (WAFR). 2021.
TESS Vibration Testing: A. Boundary Condition Case Study
A. Karlicek, A. Pinosky
SEM International Modal Analysis Conference (IMAC). 2018.
A. Pinosky
Undergraduate Honors Thesis, UNC Chapel Hill. 2015.
Low Powered Pulse Oximetry Device Using Novel Proximity Detector Approach with Energy Harvesting
A. Pinosky, E. Beppler, J. Dieffenderfer, A. Bozkurt
UNC/NCSU Joint BME Research Retreat, NCSU Undergraduate Research Symposium, and Lucas Scholars Seminar. 2014.
PhD in Mechanical Engineering
Northwestern University
2019-2024
My research was at the intersection of robotics, machine learning, and active learning, with a particular focus on learning from scratch in novel environments.
B.S. in Applied Science–Biomedical Engineering
University of North Carolina at Chapel Hill
2011-2015
I graduated with distinction and highest honors with a major Applied Science with a concentration in Biomedical Engineering and a minor in Math.