Projects covered a wide range of topics such as national parks conservation, college success variables, mental health and substance use, and bee pollination and flight patterns. Many of these projects are continuations of students’ current or previous work. For example, Olav Moeller works with the OSU baseball team and chose to visualize player and game metrics for his final project.

“I had previously done a similar project working in python, using public data from ~10 games at the start of this season, and wanted to recreate it in R, using Shiny. I used a couple different graph types, and a data table, on the main page of the Shiny app. I also then reproduced the same graphs with more details and explanations on separate tabs, for more deep dives. I thought it was really cool how smooth everything worked and loaded quickly, allowing for quick comparisons between players and overviews. Since the data is so player specific and case by case, there were many different insights to take away, which was quite fun to see.” -Olav Moeller (Mathematics major)

By working on existing interests and projects, students not only learned new skills but unlock a deeper understanding of concepts they once struggled to fully understand. Undergraduate researcher, Ngoc Le described her new ability to understand and visualize her lab’s dataset that she had been, “Working with for so long…” as a, “Magical moment.” A couple students even plan to present their final projects at the 2025 American Psychological Association Convention this summer in Denver, Colorado.

Checkout a couple of the first cohort’s final projects:

Student feedback reflected strong appreciation for both the technical and creative aspects of the course. When asked what they enjoyed most, many pointed to the freedom to pursue individualized projects and the opportunity to learn new tools like Shiny apps for interactive data visualization. Students also highly recommend this course for other students.

“I would absolutely recommend this course to anyone even remotely interested. Erin does a great job of making the course engaging, and the freedom to do something relevant to your interests or career is extremely useful. You can get out what you put into this course and get something really beneficial from it if you put in the effort.” – Olva Moeller (Mathematics major)

Given the success of its first offering, ST 437 will return in Spring 2026. Future students can look forward to building both technical expertise and confidence in applying their skills to real-world data. As the first cohort has shown, the course not only strengthens programming and visualization abilities, but also helps students transform their academic interests into polished, professional projects they can carry forward into research, internships, and careers.

When: Monday, June 2, 4–5 p.m. with a short reception beforehand

Where: OSU Corvallis, Cordley Hall, Room 1316

Whether you're studying STEM, already immersed in the field, curious about AI, or passionate about the future of technology, this lecture offers a compelling look at the science and mathematical principles behind the algorithms—and the opportunities ahead.

Collaborating with experts and making new connections

Conferences open doors to job opportunities in industry, research collaborations in academia, mentorships, and even future grant panel members, which are extremely valuable after completing graduate school. When it comes to attending JSM, there’s an additional benefit.

By using JSM’s online Career Service portal, students can click a button that sends their resume to every company attending the conference. Even better, interviews with recruiters can be scheduled in advance. Students can find these invitations by routinely checking the portal’s inbox. For Duan, she received 12 interview requests.

Thanks to these interviews, students have a chance to shine. “The interviews are pretty short, so make sure to remember the details on your resume and clearly explain the purpose, motivation, challenges and results of your research to help the hiring managers better understand your work,” Duan said. “That’s how I found my job!”

This streamlined process helps students focus on expressing themselves through public speaking rather than worrying about handing out as many resume copies as possible.

Duan’s advice for students wanting to connect with professionals? Find something in common. It can be as simple as asking to chat over dinner because you graduated from the same university. “Most people are very willing to speak with alumni, and they might introduce you to more people, so that’s a great way to make connections at conferences,” she said. “You can also invite hiring managers to attend your presentation and speak with them there.”

Making the most of opportunities

In statistics and data science, there is a vibrant community full of opportunities for passionate learners. “Going to conferences helps you do better research, look for better jobs and have a better outcome, no matter what career you choose to have,” said Yuan Jiang, statistics associate professor and co-director of graduate studies.

Jiang co-organized the New Researchers Conference (NRC), which is always held shortly before JSM. Last year, students could attend both conferences in the same summer, meaning a chance to make double the connections without traveling far from home.

Other annual conferences like the Eastern North American Region (ENAR) and the Western North American Region (WNAR) of the International Biometric Society are other options for professional networking and developing, especially in biostatistics.

“There are two ways to look for a job. You can apply by yourself to as many companies as possible or have an internal referral. I would say that if you are being recommended by someone, the success rate of landing a job is probably much higher,” Jiang said.

The College of Science offers various resources to help students expand their network both locally and around the world, even if they’ve never been to a conference before. The College of Science Student Travel Award is available for both undergraduate and graduate students. The Department of Statistics offers professional travel awards up to $1000 each academic year for graduate students who travel to regional, national or international conferences to present a paper or poster.

“Different people have different personalities. But no matter what, networking is important,” Jiang said. “Going to conferences is an integral tool to get to know people, whether you want to go to industry or academia. When people can know you in person, that gives them a more direct impression about who you are.”

Graduate students at the College of Science are conducting crucial research that addresses critical challenges and benefits both local communities and the broader world.

To celebrate their accomplishments, the College will be hosting the inaugural Graduate Science Research Showcase from 11:30 a.m. to 2:30 p.m. on Friday, May 16, 2025 in the Memorial Union Horizon Room.

Click here to RSVP!

This event offers a glimpse into the future of science featuring graduate research presentations, a poster session and a keynote address from renowned alumnus Jonathan Gallion, vice president of Artificial Intelligence and Machine Learning for OmniScience.

Gallion, recipient of the College's 2024 Early Career Award, earned dual Honors bachelor's degrees in biochemistry and biophysics, and microbiology in 2012. His career began with an internship at SIGA Technologies, where he programmed robots to screen chemical compounds for antiviral medicines. At OmniScience, Gallion and his team utilize large language models to enhance clinical trial outcomes and improve human health. Their work accelerates decision-making and transforms data analysis in biotech, medtech, pharmaceutical and preclinical innovation. Rather than replace human expertise, their AI tools are designed to compliment it.

Schedule of Events

12 p.m.

Lunch

12:20 p.m.

Welcome from Executive Associate Dean Vrushali Bokil and Dean's Remarks from College of Science Dean Eleanor Feingold.

12:30 p.m.

Keynote speech from alumnus Jonathan Gallion, V.P. of Artificial Intelligence and Machine Learning for OmniScience.

Keynote Talk Title - Beyond Automation: Agentic AI and the New Frontier of Life Science Innovation

Abstract: Artificial intelligence in the life sciences is moving beyond automation into a new frontier defined by agentic systems—AI tools capable of reasoning, planning, and autonomous action. As these AI agents continue to evolve from tools to collaborators, life scientists will need to rethink how we generate hypotheses, design experiments, interpret data, and generate insights. This keynote will examine how agentic AI is already transforming decision-making and accelerating innovation within clinical trial development and offer a perspective on how domain experts can adapt and lead at the intersection of scientific expertise and intelligent automation through AI.

1 - 2:30 p.m.

Five minute research presentations and dessert, followed by a poster session, showcasing the diverse research conducted across the seven departments in the College of Science. The session will highlight how Science graduate students are participating and contributing to this valuable research.

Presenters include:

Oluwasen Adu (Integrative Biology)
Advisor: Michael Blouin
Talk title: Genome Wide Association Study of Biomphalaria glabrata snail and its Schistosome Parasite

Vera Alenicheva (Chemistry)
Advisor: Vincent Remcho
Talk title: A Microfluidic Paper-Based Assay for the Quantification of CBD and THC

Lucas Allan (Chemistry)
Advisor: Tim Zuehlsdorff
Talk title: FC2DES: Modeling 2D Electronic Spectroscopy for Harmonic Hamiltonians

Hallee Boyd (Chemistry)
Advisor: May Nyman
Talk title: Characterization of Trivalent Lanthanide Keggin Phosphomolybdate Sandwich Clusters

Daniel Malone Buoy (Statistics)
Advisor: Claudio Fuentes / Sarah Emerson
Talk title: Representative Sampling Methods for K-Fold Cross Validation

Olivia Burleigh (Integrative Biology)
Advisor: Virginia Weis
Talk title: Transcription Factor-targeted ChIP-Seq for Smad3-mediated TGF-β Signaling in Heat-stressed Aiptasia

Jun Cai (Integrative Biology)
Advisor: Virginia Weis
Talk title: Effect of Sphingolipid Metabolic Pathway Inhibition and Knockdown on Cnidarian-Algal Symbiosis

Giovanni Crestani (Integrative Biology, Ph.D.)
Advisor: Molly Burke
Talk title: Genomics of experimentally-evolved postponed reproduction in Drosophila melanogaster

Ushasi Datta (Chemistry)
Advisor: Marilyn Mackiewicz
Talk title: Unveiling the Hidden Properties: How Nanomaterial Surface Chemistry and Biomimetic Systems Shape Reflectance and Contrast

Konstantin Drallios (Chemistry)
Advisor: Thomas Osborn Popp
Talk title: 3D Printable Radiofrequency Coils

Rudranil Dutta (Chemistry)
Advisor: Claudia Maier
Talk title: Identification and Quantitation of Bioactive Alkaloids in Withania Somnifera

Arpa Ebrahimi (Chemistry)
Advisor: Claudia Maier
Talk title: Characterizing the Lipidomic and Proteomic Profile of the 5xFAD Alzheimer’s Disease Mouse Model: A Comparative Study Using MALDI Imaging Mass Spectrometry

Jessica Etter (Chemistry)
Advisor: Claudia Maier
Talk title: LC-QTOF and LC-TIMS-qQTOF MS Analysis of Fecal Inoculum Biotransformation Products and LC-MRM-MS Analysis of Human Withanolide Pharmacokinetics of an Ashwagandha Supplement

Caroline Hernandez (Microbiology)
Advisor: Maude David
Talk title: Whole-Cell Crosslinking Reveals Direct Lactobacillaceae and Rhizobiaceae Interactions with Host Duodenal Neuropods

Esteban Hernandez (Chemistry)
Advisor: Jennifer Field
Talk title: Experimental pKa Values of Substituted and Unsubstituted Perfluoroalkyl Sulfonamides via 19F NMR

Lucas Kolanz (Physics)
Advisor: Davide Lazzati
Talk title: Cosmic dust bunnies

Weiqi ‘Grace’ Li (Statistics)
Advisor: Yuan Jiang
Talk title: Reframing spatial transcriptomics prediction: From regression to classification

Sarah Louie (Biochemistry & Biophysics)
Advisor: Richard Cooley / Ryan Mehl
Talk title: Optimizing genetic code expansion technology to access post-translationally modified proteins

Praveeni Mathangadeera (Mathematics)
Advisor: Małgorzata Peszyńska
Talk title: Computational Modeling of the Nonlinear Heat Equation in Frozen Soil and Snow

Anshika Nagar (Chemistry)
Advisor: Marilyn Mackiewicz
Talk title: Shielded Nanoparticles: Advancing X-Ray Fluorescence Microscopy with Oxidant-Resistant Nickel and Cobalt

Luke Nearhood (Physics)
Advisor: Patti Hamerski
Talk title: Computing the Tension

Joline Nguyen (Biochemistry & Biophysics)
Advisor: Sarah Clark
Talk title: Isolation of Scarce Membrane Protein Complexes from C. elegans

Victory Chiamaka Obieke (Mathematics)
Advisor: Vrushali Bokil
Talk title: Compatible Energy Preserving Discretizations for Nonlinear Optical Wave Propagation: The Maxwell-Duffing Approach

Emily Palmer (Statistics)
Advisor: Yuan Jiang
Talk title: A Group Penalization Framework for Detecting Time-Lagged Microbiota-Host Associations

Madison Phelps (Mathematics)
Advisor: Małgorzata Peszyńska
Talk title: Nonlinear Solvers in Permafrost applications

Kevin Rice (Microbiology)
Advisor: Maude David / Kenton Hokanson
Talk title: Electrical Characterization of Primary Enteroendocrine Cells: Developing Tools to Screen Novel Microbial Neuroactive Compounds

Casey Rummelhart (Chemistry)
Advisor: Addison Desnoyer
Talk title: Frustrated Lewis Pairs Ligand for the Transformation of Carbon Dioxide to Chemical Feedstocks

Pavel Sengupta (Chemistry)
Advisor: Dipankar Koley
Talk title: Quantifying Dissolved Oxygen in Biofilms with Non-invasive Flexible Amperometric Oxygen Sensors

Michael Sieler (Microbiology)
Advisor: Thomas Sharpton
Talk title: Modeling the zebrafish gut microbiome’s resistance and sensitivity to climate change and parasite infection

Gavin Tovar (Statistics)
Advisor: Robert Trangucci / Sarah Emerson
Talk title: Sequential Approach to K-Fold Cross-validation---Computational Reduction Technique

Hao Yue (Chemistry)
Advisor: Marilyn Mackiewicz
Talk title: Targeted X-ray Imaging Agents for Visualizing Triple-Negative Breast Cancer

Sima Ziyaee (Chemistry)
Advisor: Claudia Maier
Talk title: Exploring Cellular Heterogeneity through Single-cell Proteomics

Join us to celebrate the future of science — and the graduate students who are making it happen.

Insecticide resistance in spotted-winged drosophila

Geneticist Alysia Vrailas-Mortimer's project addresses the significant agricultural threat posed by spotted-winged drosophila (SWD), an invasive pest species. The research aims to advance understanding of the genetic basis and evolution of insecticide resistance in these pest populations through experimental work, genetic techniques and mechanistic mathematical modeling. The project involves collaboration with experts from UC Davis and focuses on developing sustainable control methods. Directly connected to the needs of the Oregon agricultural community, this project is a prime example of OSU’s strong community engagement initiatives as a land grant institution. By learning more about the mechanisms of insecticide resistance in spotted-winged drosophila, growers will be better able to plan and prioritize their insecticide applications to mitigate resistance.

Oregon State Collaborators
Alysia Vrailas Mortimer, Biochemistry & Biophysics
Swati Patel, Mathematics
Serhan Mermer, Environmental and Molecular Toxicology (College of Agricultural Sciences)

Analytical Tools to Understand Ecological Communities

Statistician Yuan Jiang’s SciRIS project aims to create novel analytical tools for assessing how organisms in complex ecological communities like microbes and parasites interact and affect each other over time. The research will leverage long-term community datasets from wild vertebrate host populations with improved data techniques that allow these large complex data sets to be analyzed more efficiently and with environmental conditions factored in. In addition to improve our ecological understanding of these communities, Jiang's project seeks to extend the accessibility of these analytical tools to diverse scientific audiences through summer camps, workshops and online tutorials. The project will also involve collaboration with colleagues and students at the Universidad of San Francisco de Quito in Ecuador to build capacity in data analytics.

Oregon State Collaborators
Yuan Jiang, Statistics
Lan Xue, Statistics
Anna Jolles, Integrative Biology
Claire Couch, Fisheries, Wildlife and Conservation Sciences (College of Agricultural Sciences)

Unlocking the potential of seaweed

Algal physiologist James Fox’s project explores the chemical composition and potential applications of Pacific Dulse, a protein-rich seaweed native to the Pacific coastline. The team will create a special growth chamber to cultivate seaweed on land under controlled conditions. This allows researchers to maximize the production of important compounds found in Pacific Dulse, which can be used in nutrition and medicine. The project also emphasizes community outreach and inclusive excellence by engaging diverse student populations and partnering with outreach programs. Additionally, the project will investigate the impact of different processing methods on the nutritional quality of seaweed extracts.

Oregon State Collaborators
James Fox, Microbiology
Myriam Cotten, Biochemistry and Biophysics
Ford Evans, Hatfield Marine Science Center
Evan Forsythe, Integrative Biology
Scott Geddes, Chemistry Program Coordinator OSU-Cascades
Jung Jwon, Department of Food Science & Technology (College of Agricultural Sciences)
Christopher Suffridge, Microbiology

These projects highlight the innovative and impactful research being conducted by the 2025 SciRIS awardees. Each project not only advances scientific knowledge by also emphasizes collaboration, community engagement and inclusive excellence.

College of Science Inclusive Excellence Award

Hannah Stuwe, graduate student in the Department of Biochemistry and Biophysics, received the Inclusive Excellence Award.

Department Head Elisar Barbar, who nominated Stuwe, said she has engaged in a wide-ranging set of service, outreach and training that is truly impressive. First, Stuwe conducted a GFP protein purification activity for middle and high school students from the Chemawa Indian School, Jewell High School (Seaside), and visited groups of black and Latinx students from the Portland area.

She planned, wrote and edited a handbook of science experiments geared towards middle school aged students, their parents, and teachers to fill the void of not having a BB summer camp. This handbook now serves as a free and open access resource for community members.

Stuwe is the founder of the non-profit organization Corvallis Music Collective. They have engaged in community service and activism by providing live music for events and rallies. Recent events include the Basic Needs Center Fall Welcome Party, the Disabled Students Union Disability Justice Rally and Jackson Street Youth Services National Runaway Prevention Month “Skate Park After Dark” Show.

Gladys Valley Award for Exemplary Administrative Support

Amy Timshel, assistant head to the department head in the Department of Microbiology, received the Gladys Valley Award for Exemplary Administrative Support.

Her colleagues describe her as proactive, always seeking ways to improve processes and deeply committed to making the department a better place for everyone. She is highly regarded by students, faculty and staff for her professionalism, broad knowledge and ability to get things done. In fact, Department Head Anne Dunn noted that when she polled faculty on department strengths during strategic planning exercises, Timshel's critical role in the department was consistently highlighted.

She has a deep understanding of university policies and constantly looks for ways to improve them. She listens, advocates for students and colleagues, and takes initiative to make the department more inclusive and equitable. For example, her work on the Core Values Committee led to the addition of gender-neutral restrooms in Nash Hall and improvements to scholarship and travel fund policies.

Beyond her administrative role, Timshel actively fosters a sense of community within the department. She organizes fundraisers and charity events and regularly attends student events to show her support.

Distinguished Service Award

Elaine Cozzi, assistant head and associate professor in the Department of Mathematics, received the Distinguished Service Award for her impactful service to her department, the College and the broader mathematics community.

Cozzi served as interim associate dean of academic and student affairs for the College in Spring of 2024, managing various projects, including the university’s revision of its undergraduate advising system, assessing teaching resources and addressing countless student issues. She was overwhelmingly generous with her time in responding to the many challenges and the needs of her colleagues.

Before and after serving as associate dean, Cozzi served as assistant department head for mathematics, responsible for scheduling upper-level courses and ensuring adequate staffing for the Department’s teaching mission. This affects the hiring of instructors, graduate students, and undergraduate graders.

Jon Kujawa, Department of Mathematics head and Cozzi’s nominator, noted, “It is hard to overestimate the impact of Elaine’s planning on the smooth operation of the teaching side of the department. And she readily pivots when unexpected events disrupt the plans.” Additionally, Elaine led the assessment of the Mathematics undergraduate program for several years, playing a crucial role in student success, he shared.

Cozzi also contributes significantly to the mathematics profession as Associate Editor for the American Mathematical Monthly – the most widely read mathematics journal in the world. She is also an active member of SIAM, a professional society for applied mathematics, where she helps organize meetings and contributes to administrative efforts and regularly serves as a grant evaluator for the NSF and the Simons Foundation, helping to shape the future of mathematical research.

Virginia Lesser, Department of Statistics Head, received the Champion of Science award for her significant contributions to the field of statistics and to Oregon State University throughout her distinguished career. After earning her PhD in Biostatistics from the University of North Carolina at Chapel Hill, she joined OSU’s Department of Statistics in 1992.

A year later, she became Director of the Survey Research Center, a role she held until her retirement in December 2024. Lesser's expertise in probability sampling, survey design, and data collection methods ensured that the center upheld the highest standards. Under her leadership, the center became a premier institution, offering expertise in survey methodology, sampling and data analysis – supporting projects that inform policy, environmental monitoring, economic studies and public opinion research. Its work has helped agencies such as the Oregon Department of Transportation, the Oregon State Marine Board, and the Oregon Department of Fish and Wildlife make data-driven decisions, not to mention numerous initiatives within the University.

Lesser's groundbreaking research in survey methodology, environmental statistics, applied statistics and ecological monitoring has advanced the field and influenced practice. She has authored over 55 journal articles and conference proceedings, earning national and international recognition – including being named a Fellow of the American Statistical Association and an elected member of the International Statistical Institute.

Lesser's leadership also transformed the statistics department and elevated Oregon State University’s role in the field as department head from 2011 to 2018.

Lesser has also been a dedicated mentor and advocate for students and colleagues. Over the course of her career, she guided more than 220 graduate students and fostered a welcoming, supportive community within the department. Her colleagues regard her as an exceptional mentor and an inspiring leader, someone who consistently goes above and beyond – whether leading major academic initiatives or simply making sure the department potluck had a home-cooked turkey.

Eight years ago, members of Oregon State Seed Services envisioned a modern way to inspect seeds. While training an artificial intelligence model to analyze an image is not new, applying this technology to seed purity is. What sounds like a simple task on the surface, actually involves many intricate steps and disciplines.

Before the tool is even developed, understanding the importance of seed testing and the current limitations is crucial, and that’s where Dan Curry stepped in.

When farmers raise a seed lot, they want to ensure customer satisfaction. If weed seeds start growing on someone's newly planted lawn instead of grass, that wouldn’t be good. Or if the seeds aren’t healthy, it directly impacts yield and productivity. Different agencies including the Oregon Department of Agriculture use testing to issue quality tags for seed lots that meet specific quality standards.

Seed growers use giant machines to clean out most of the weeds. This requires constant stopping and analyzing the system to make sure they are cutting enough. In other words, throwing away enough to remove the bad seeds. Because growers don’t want to cut too hard and throw away profits, they are constantly grabbing a sample, shutting their machines off and driving miles to a lab.

Analyzing seeds by hand is hard work. It takes three to five years of training to identify up to 200 different seed species and hundreds of hours spent uncomfortably staring at tiny images. Employees who look at hundreds of thousands of seeds each day will make mistakes.

If the grass seed growers of Oregon not only had a more accurate method of testing, but also a portable version, they would throw less away and have higher quality seed lots.

Building on this understanding, a cross-disciplinary research group formed, combining five faculty members, three graduate students and three undergraduates from the College of Science, College of Agricultural Sciences and College of Engineering.

The first challenge is capturing high-quality images of seeds to train the computer to see the differences. Next, it’s figuring out how to maintain consistent conditions while they’re training and testing because if those conditions change, what’s used for training may not apply to testing.

Statisticians like Di are needed to calculate levels of uncertainty, while computer scientists will provide feedback on the neural networks used by AI to perform tasks that typically require human intelligence. Neural networks are algorithms that mimic the human brain’s structure to recognize patterns and make decisions based on data.

In the 21st century, the boundary between statistics and artificial intelligence has started to blur, with both fields analyzing data and trying to make sense of it.

“I don’t really think too much about which area I’m working on, whether it’s AI or statistics. I believe on this team, we just focus on solving the problem,” Di said.

The goal is to have the entire processes automated, requiring the contributions of robotics engineers. To add to the complexity, the group is developing two different versions, the tabletop lab Ergo Vision and a portable light box.

“The idea is we can send the light box to the farmers so they can analyze seeds onsite so they don’t have to send their sample to the seed lab and wait a couple of hours before they can make a decision,” Di said.

The 3D printed prototype currently sitting in the crop science building was made by Ameyassh Nagarajan, an OSU graduate student in computer science and crop science and Logan Snell, an engineering undergraduate.

“I usually work on a lot of theory and engineering, but this is the first time I’ve been involved in something that’s solving a real-world problem,” Nagarajan said.

In the tabletop version, seeds will rest on a stationary flat platform, whereas the lab model incorporates a conveyor belt to transport seeds through the system seamlessly. The tabletop version is designed for high-throughput analysis in lab settings, while the portable light box provides farmers with an on-site solution.

By the start of this year, the group has trained the AI on five types of common seeds. In reality, the system could see a few hundred different seed types, meaning one of the big tasks is to gather more species and introduce them to the model.

Afterward, Di will be involved in working with the computer science collaborators to improve the AI model itself.

“If the machine has say a one percent error rate, it sounds very low. But in practice, the percentage of true weed seeds is also very low. So that means even if you have only one percent of error, that is still a lot of false positives,” Di said.

By applying cutting-edge science to the needs of local stakeholders, Yanming Di and collaborators are turning a centuries-old challenge into an opportunity for multidisciplinary innovation. This collaborative effort underscores the power of science and highlights the commitment of Oregon State to helping Oregonians thrive.