STEM Summer Research
STEM Summer Research 2026 applications are now closed. The application deadline was Friday, March 6.
(Typical dates for STEM Summer Research this year will be May 18-July 25. Faculty may adjust their start/end dates based on their own research project.)
Synthesizing, Characterizing and Calculating Our Way to Better Bioimaging: Functionalized Diimine Tricarbonylrhenium(I) Complexes
This research seeks to develop diimine rhenium(I) complexes for potential use as biomedical imaging probes. Our research will focus on synthesis and characterization of ligands and complexes as well as studying luminescence and factors that influence luminescence (solvent, pH, environment). We will use molecular modeling to explain observed behavior and to guide synthetic work.
Accepting one student.
Effects of Gut Microbiota in Depression and Social Behaviors
Depression is a serious mental health concern, impacting quality of life through effects on daily function, social interaction and stress-related impairments. The proposed research will determine if gut microbiota differences between two unique rodent models of depression and resilience are responsible for their differences in depression-related behavior and social interactions. This study will involve both behavioral testing and tissue/fecal sample analysis.
Accepting two students.
Development and Maintenance of Ecological Test Systems
We will be working on maintaining, updating and troubleshooting an existing distributed embedded system to control ecological experiment systems. Some work will be in physical system setup. Some work will be configuration of current system.
Major attention will be given to web development.
Most work will be done at Gonzaga University.
Accepting one student. This will be an eight-week position.
Quantum Computing for Artificial Neural Networks
Students will have the opportunity to study the mathematics of quantum computing and optimization algorithms and study their potential applications to artificial neurons. As well as participating in hands-on-research into real quantum computing algorithms, students will also be encouraged to write up research for presentation at SPIE Quantum West Conference in San Francisco in January 2027.
Accepting two students.
Look Into Flow Clusters: A Novel Approach of Network Traffic Classification
This research will propose and implement network traffic classification models using AI classifiers. We will focus on feature engineering and AI classifier design and improve the classification accuracy and robustness.
Accepting one student.
A 3D Printed Biosensor Microdevice
Come be a part of the Microdevices Lab at Whitworth. The Microdevices Lab is continuing its work on technology to miniaturize functions performed in an entire lab on a single chip. This is normally done using semiconductor processes (that require a cleanroom and are very expensive), but our lab utilizes micro-3D printing instead to reduce the cost and speed of manufacturing. The past few years, we have shown we can make miniaturized PCR devices, microfluidic worm sorting devices and 3D printed waveguides (or pipes for light used in quantum computing schemes). This summer, we will be extending the work to explore how to make a 3D printed optofluidic biosensor combining both techniques (waveguides and microfluidics).
This project will support a student researcher with an engineering or physics background. Come chat with Associate Professor Measor or visit the webpage (microdevices.whitworth.edu) to learn more.
Accepting one student.
Structure and Activity of Bacterial Peptidases for the Detoxification of Gluten
The Ojennus Lab is interested in the structure and activity of the Lb. helveticus peptidases PepX, PepN and PepO, which when combined may be used to detoxify food allergens such as gluten. Individual projects may include the investigation of a calcium-binding site in the PepX enzyme, PepO activity assays against various substrates, kinetic screens of enzymes containing site-directed mutations at the substrate binding site, crystallization of enzymes for X-ray diffraction structural studies, and development of an enzyme cocktail for the complete detoxification of gluten in food and beverages.
Accepting two students. Part-time volunteers will also be considered.
Microbial Pathways for Detoxifying Potato Peel Glycoalkaloids
Potato peels are a promising renewable resource because they contain beneficial chemicals, but they also contain toxic compounds called glycoalkaloids. We will isolate and characterize microbes that can remove these toxins. Identifying the genetic pathways for glycoalkaloid metabolism will enable us to turn agricultural waste into a valuable resource.
Accepting one student.
Plasma Acceleration in Pulsed Inductive Thrusters for Spacecraft Propulsion
Computationally predict the properties of plasma in a novel spacecraft propulsion system and compare the results with experimental measurements made at the University of Washington. This work involves applying physics, math and computer science to develop a new aerospace engineering technology.
Accepting one student.
Quantitative Modeling of Molecular Shape Recognition
Collaborating with Professor of Chemistry Kraig Wheeler
This NSF-funded project is a collaborative effort involving the mathematics, computer science and chemistry disciplines to develop mathematical and chemical models for probing complex recognition profiles of small organic molecules. This summer, we will be fine tuning and finalizing the model and developing a molecule analyzing tool.
Applicants should have coding skills – Python is preferred.
Accepting one student.
Optical Neural Network Computing for Wireless Endoscopy Applications
This project will investigate a physics-based form of artificial intelligence (AI) that can classify images by guiding light through an optimized diffractive deep neural network (DDNN). DDNNs will be designed to detect polyps in endoscopy datasets for a wireless capsule endoscopy application. You will be using Python and PyTorch libraries and working with an existing code base developed by previous Whitworth summer research students.
Students from engineering, physics, chemistry, math and computer science are welcome to apply.
Accepting one student.
Innovation Incubator Project Development
Come work on real technology projects for real clients and help kick-start Whitworth's Innovation Incubator. Accepted students will be building technology that supports local nonprofits or startup companies and working closely with those clients.
Accepting two students.
Targeted Structural Diversity & Assessments in Quasiracemates
Collaborating with Associate Professor of Mathematics & Chemistry Diana Schepens
This work explores families of materials that align predictably in molecular crystals using the property of molecular shape. Students involved with this project can expect to receive hands-on experience with experimental work involving organic synthesis, crystal growth and various structure determination methods, including X-ray crystallography.
This project seeks motivated and committed students, ideally those with previous coursework in organic chemistry.
Accepting four students.
Quantitative Image & Data Analysis Based Biophysical Modeling of Collective Electrotactic Migration of Isolated Cranial Neural Crest Cells During Tissue Regeneration
Cell motility, an important process during tissue regeneration, is a collective phenomenon involving many interacting cells. This project involves (i) developing deep learning-based image and statistical data analysis tools to quantify single cell motion in microscopy images, and (ii) developing quantitative image and data analysis based biophysical model to identify mechanisms controlling single cell motility and collective behavior.
Interested students should be curious to learn about a new area of science. Basic exposure to Matlab-based scientific computing and mathematical reasoning is preferred for one position and basic exposure to Python-based scientific computing is preferred for the other position.
Accepting two students.
A 3D Printed Microdevice for Detecting Pathogens
This project is a collaboration between Professor Kent Jones and Associate Professor Philip Measor in the further investigation and optimization of a 3D printed (3DP) microfluidic pathogen detection system.
Accepting four students:
Website Development of Molecular Shape Recognition Analysis Tool.
Collaborating with Professor of Chemistry Kraig Wheeler
This NSF-funded project is a collaborative effort involving the mathematics, computer science and chemistry disciplines to develop mathematical models for probing complex recognition profiles of small organic molecules. This summer, we will be developing a website tool incorporating the current Python algorithm for use in crystal analysis.
Applicants should have strong coding skills and ability to work with Python.
Accepting one student.