Academic advisors are here to help you succeed. As educators and problem solvers, they advocate for students as they navigate their personal journey of higher education and attain their academic goals. Through inclusion and connection, they open doors to new opportunities for self-awareness and growth, empowering students to define their roles as citizens within local and global communities.
Fall 2020 Update: The Advising Hive will remain closed for the Fall 2020 semester. Please continue to make virtual appointments using the links below. Your advisors are also available via email and phone. Hover over the advisors in each department for their contact information.
The Advising Hive
Crocker Science Center, Room 240
Physics & Astronomy Advisor
January 15, 2020 – The College of Science at the University of Utah is proud to bring the Beckman Scholars Program, supported by the Arnold and Mabel Beckman Foundation, back to the Univerity of Utah!
The Beckman Scholars Program is a 15-month mentored research experience for exceptional undergraduate students in chemistry, biological sciences, or interdisciplinary combinations thereof.
This generous institutional award, provided by the Arnold and Mabel Beckman Foundation to the University of Utah College of Science, spans three years (2020 – 2023), and will enable the funded support of six scholar–faculty mentor pairs. Each internally selected scholar will receive a $21,000 research stipend to facilitate 15-months of mentored research (nine academic calendar months, two three-month summers), in addition to $5,000 provided for the mentor-directed research.
Eligibility: Prospective scholars must apply with one of fifteen internally selected UoU Beckman Scholars Program mentors. For participating faculty research mentors, see Figure 1 below.
In addition, a prospective scholar must:
- Be a full-time student with a minimum 3.5 GPA and a declared science major;
- Be a U.S. citizen or permanent resident;
- Be a freshman, sophmore, or junior;
- Commit to a research project that will last two summer semesters and the the entire academic year in between.
Application Details: Please attend the 2020 information session. Prof. Ming Hammond and Prof. Andrew Roberts will provide a UoU Beckman Scholars Program overview and detail the application process. See Table 1 below for details and deadlines on the application and selection process.
Table 1. Activity timeline for UoU Beckman Scholar recruitment and selection
|Phase||Date||Planned Activity (2020 – 2023, recurring annually)|
March 4, 2020
|Information Session: Scholar recruitment and solicitation
Location: Crocker Science Center, Room #206
Time: 2:00-2:30 pm
March 4, 2020
|Formal Program Solicitation: March 4, 2020
Application Deadline: April 17, 2020 at 6:00 p.m. MST, see application guidelines and submission information
April 17, 2020
|Application Deadline: April 17, 2020 at 6:00 p.m. MST, see application guidelines and submission information
Committee to review candidate applications
Committee to conduct selected candidate interviews
May 1, 2020
|Committee to select final candidates (May 1, 2020)
Formal disclosure of two UoU Beckman Scholars (May 15, 2020)
|UoU Beckman Scholars initiate independent research projects|
Additional details about the Arnold and Mabel Beckman Foundation and the Beckman Scholars Program can be found here:
Science research initiative
Neural Networks Research Stream
The abundance of data created in science, engineering, business, and everyday human activity is simply staggering. This data is often complex and high-dimensional, taking the form of video or time-dependent sensor data. Machine learning methods allow us to understand such data, automatically identifying patterns and making important data-driven decisions without human intervention. Machine learning methods have found a wide variety of applications, including providing new scientific insights and the development of self-driving cars.
One machine learning method in particular, neural networks, has emerged as the preeminent tool for the supervised learning tasks of regression and classification. Loosely modeled after the human brain and the basis for deep learning, Neural Networks use composition to develop complex representations of data. In recent years, researchers using Neural Networks have made tremendous breakthroughs in topics as varied as image processing, natural language processing, and playing board games such as Go.
Undergraduate students participating in this SRI stream will be introduced to neural networks and learn how they're used. Students will learn about the mathematics that forms the basis for neural networks and the optimization methods used to train them. They'll learn how to program in python and use machine learning packages such as scikit-learn and TensorFlow to analyze data. Working in teams, students will use Neural networks to solve real-world classification problems like object recognition in images, detecting falsified financial transactions, and controlling for manufacturing defects. They'll also learn to effectively communicate and visualize results.
Science Research Initiative
Cellular Biology Research STREAM
The basic driving forces of evolution, mutation and selection, are often difficult to observe and study in the laboratory because it requires large numbers of individuals and long time periods in order to observe the evolutionary changes.
During our research we found that the yeast knockout collection (~4200 strains each containing a deletion of a non-essential gene) is a treasure trove for evolutionary and cell biological studies. Genome sequencing of several of these mutant strains in my lab identified additional mutations in each mutant that help the strain cope with the initial gene deletion.
These suppressor mutations most likely arose during the copying of the original knockout collection, during which strains with suppressor mutations had the opportunity to outcompete the original mutant strain. Knowledge of the suppressor mutations can give insights not only into evolutionary mechanisms but also into the interactions between different cell biological pathways (systems biology).
The goal of the project is to systematically analyze the genomes of yeast deletion strains propose a mechanism of phenotypic suppression and test the model. Furthermore, we will perform evolutionary experiments in the lab to identify the factors that are responsible for the rapid genetic adaptation of yeast.
Science Research Initiative
Electrosynthetic Chemistry Research STREAM
Chemists and engineers strive to develop safe, efficient, and environmentally sustainable chemical synthesis for the production of high-value molecules, such as those used in medical applications. Advances by electrochemists have demonstrated remarkable new means for improving product selectivity under mild reaction conditions. Unexplored realms of chemical synthesis are now attainable using electrons at the primary reactant.
Supported by the National Science Foundation Center for Chemical Innovation, chemists at the University of Utah and across the country are embarking on a collaborative project to employ the extensive knowledge electrochemists, materials scientists, and physical chemists in using electrons to make new molecules. The overarching goal is to deploy this exciting new knowledge to advance chemical synthesis.
Undergraduates participating in this SRI project will demonstrate how using electrons as reactants can make pharmaceutical synthesis greener, safer, and environmentally friendly. Students will work towards learning advanced electrochemical methods for carrying out chemical transformations. Working as a team, they will participate in designing a research plan for developing a general electrochemical route for introducing chemical functionality into molecules, and then demonstrate the general application of their method in the chemical syntheses of a series of molecules.
The project will provide students with a working knowledge of many aspects of organic preparatory chemistry, the physical chemistry of electron-transfer reactions, catalysis, materials chemistry, and quantitative analytical measurements, providing a foundation for future advance research in all areas of chemistry. Biweekly meetings of the entire team with the project leaders (Profs. Minteer and White) will focus on discussion of individual student results and the overall progress of the team.
Communication skills and scientific writing will be emphasized as part of the project. Undergraduates from all areas of science and engineering are encouraged to apply.
“I have lived by the principle that one ought to give back more than they receive.” - Jim Sugihara
James M. Sugihara, first Ph.D. recipient at the University of Utah and long-time faculty member in Chemistry, passed away on Nov. 12, 2019. He was 101.
Sugihara holds an important place in the University’s history, as well as Utah’s history.
In 1942, shortly after the bombing of Pearl Harbor, when Sugihara was just 24, he and his family were relocated from California to the Topaz Mountain internment camp in central Utah. The family lost their home and business.
However, Sugihara was granted a leave from Topaz Mountain to pursue an education, since he had already earned a bachelor’s degree in chemistry at UC-Berkeley in 1939. He enrolled at the U in 1944 and studied chemistry with professor Henry Eyring.
In 1946, Sugihara’s 84-page Ph.D. dissertation on “The Reactions of Mercaptans on Sucrose and Molasses,” included only three approval signatures: Walter D. Bonner, Lloyd E. Malm and Elton L. Quinn. (Henry Eyring had not yet started work as dean of the Graduate School by that date.)
Sugihara received his doctorate degree in Chemistry in 1947. The University catalog in 1948-1949 then listed the following chemistry faculty: professors Elton Quinn, Lloyd Malm, and Henry Eyring; associate professors Vic Beard, Randall Hamm, Bill Burke, Jim Horton; and assistant professors Stuart Haynes, George Hill, Austin Wahraftig, Ransom Parlin, Bruno Zwolinski, and James Sugihara.
“Scientific progress has moved in ways that one could not expect. Research in genetics has become paramount, leading to improvements in medicine and human health that one could not imagine just 10 or 20 years ago.”
- Jim Sugihara at 100 years of age
In 1964, Sugihara moved to North Dakota State University and became dean of the College of Science and Mathematics. He was named Dean of the Graduate School and Director of Research in 1974. In 1998, he retired as Professor Emeritus.
In 2010, the James M. Sugihara Scholarship – a permanent named scholarship – was established in the Chemistry Department at the U. It provides financial support for an undergraduate who is studying chemistry and who is living on campus in the Crocker Science House located on Officers Circle in Fort Douglas.
“I’m a non-traditional student.
I’m a mother, grandmother, daughter, sister, and widow."
BS Biology 2019
PhD Student - Neuro-Oncology Researcher
“One of my favorite memories is hanging out at Café Jost, in downtown Nijmegen"
BS Chemistry + Physics 2019
2017 Goldwater Scholar
2018 Churchill Scholar
2019 Research Scholar
“When not focused on kinesin-microtubule systems–I run the instagram food blog @friday_night_dinners."
Graduate Student Physics
Vershinin Research Lab
opportunity is knocking
Science and Mathematics touch every aspect of our world.
It is the mission of the College of Science to connect our students with the vast opportunities that mathematics and science unlock. We develop the tools for critical thinking and reason. We prepare students for exciting careers, and educate the next generation of scientific leaders.
Over the last five decades, thousands of students have used their degrees from the College of Science to launch professional careers around the globe. Science and mathematics degrees prepare students for success in a wide range of careers including industry, academics, health, business, and law.
Alumni of the College of Science include co-founders of Fortune 500 companies, pioneers of Utah’s software and biotechnology booms, and internationally-recognized leaders in health and technology.
College students have the opportunity to work with world-renowned faculty, including members of the National Academy of Science and the American Academy of Arts and Sciences. The College’s four academic units are consistently ranked among the highest performing on campus and throughout the region.
We empower our students to achieve their ambitions.
Meet Your Mentors.
Ming Hammond, Chemistry
My first experience in a research lab came from meeting my undergraduate advisor, professor Barbara Imperiali, as a freshman. I worked in her lab every semester and summer for three years, so I feel like I got my 10,000 hours in early on.
I learned a lot of things in the lab before taking the classes. It really motivated me academically. I wanted to learn and understand more about what I was doing in the lab.
Shanti Deemyad, an Associate Professor of Physics and Astronomy, recently helped solve a long-standing mystery about lithium, the first element in the periodic table that is metallic at ambient conditions. Lithium, which is a key element in electronics and battery technology, has played an important role in the development of modern condensed matter theories.
The crystal structure of materials at zero pressure and temperature is one of their most basic properties. Until now, it was thought that a complex arrangement of lithium atoms, observed during cooling in the laboratory, was its lowest energy state. But the idea baffled theoretical physicists since lithium has only three electrons and therefore should have a simple atomic structure.
Kelly MacArthur, Mathematics
My teaching took a turn about five years ago. I went through a fairly traumatic experience. That helped me realize how important it is to have humane, kind classrooms. If we don’t intentionally build the kind of culture we want in a classroom, then we unintentionally build a culture.
I’m really concerned about equity in mathematics, and I don’t know any better way to make it more equitable than to try to make it more humane for everyone.
Jamie Gagnon, Biology
A Vermont native, Gagnon arrived at the University of Utah in January 2018 from Harvard. Previous to that he earned a PhD from Brown University and a BS from Worcester Polytechnic west of Boston.
In Utah Gagnon went from post-doc to principal investigator and Assistant Professor of Biology. In his lab at the Center for Cell and Genome Science, Gagnon curates 10,000 fish in 1,000 controlled tanks carefully labeled for experiments.
Joel Harris, Chemistry
To countless undergraduates and former TAs, Joel is well known as a lab rat. He is best known for a hands-on approach to undergraduate laboratory courses, in which students work on independent projects, asking scientific questions of their own choosing, exploring the literature to identify the best methods of analysis, and conducting experiments to solve real-world problems.
Joel works one-on-one with the students in Chemistry 3000 in their exploration of what’s in the world around us, leading to a capstone signature experience for our undergraduate students. This course is considered as one of the most challenging in our undergraduate curriculum.
Pearl Sandick, Physics
Pearl earned her PhD in Physics from the University of Minnesota and served as a postdoctoral fellow at the Weinberg Theory Group at the University of Texas at Austin before joining the University of Utah in 2011.
Pearl currently serves as an Associate Dean of the College of Science. Her research interests are in particle physics including possible explanations for the dark matter in the universe.
Sean Lawley, Mathematics
Sean Lawley, assistant professor of mathematics at the U, believes the most interesting math often comes from trying to explain phenomena in other fields. For example, if you’re seeking an answer to a question about biology, physics, or economics, the answer often leads to new and interesting mathematical theories.
“Historically, much of the inspiration for mathematics has come from physics,” said Lawley, “but biology is increasingly a driving force that is pushing the frontiers of math.”
U Professor and Chair Named Fellow of American Mathematical Society
Davar Khoshnevisan, professor and Chair of the Department of Mathematics, has been named a member of the 2020 Class of Fellows of the American Mathematical Society (AMS). The Society recognizes members who have made outstanding contributions to the creation, exposition, advancement, communication, and utilization of mathematics.
“I believe my selection as a Fellow is the fourteenth induction within the Department of Mathematics at the U, so this is as much a statement about my work as it is about the terrific intellectual environment within the department. It is a big honor to be a part of our program at the U and to help advance our field. The American Mathematical Society plays a crucial role in the development of mathematics worldwide. I am proud that my colleagues and I contribute to this important endeavor.” - Davar Khoshnevisan
Khoshnevisan remembers being taught calculus by an uncle when he was very young. As part of the lesson, his uncle would weave in stories about mathematics and mathematicians—famous ones from the history of mathematics, as well as those his uncle had met in his own studies of the subject. “I knew then that mathematics would not be just a job but instead a lifelong pursuit of truth and discovery,” said Khoshnevisan. “I still try to aim for this in my research today.”
Khoshnevisan originally trained to be a researcher in mathematical statistics and probability theory. During the past 10-15 years, his work has largely been in “stochastic analysis,” an area that lies on the intersection of probability theory and function theory. Science and math historians agree that probability theory was born, probably after the 8th century, as a way to study what we now called “cryptography.” Probability theory resurfaced again when mathematicians in the 16th and 17th centuries began analyzing "games of chance."
The mathematical foundations of probability evolved much later in the early decades of the 20th century, which led to an explosion of ideas and to the introduction of new areas of intellectual activity in which “chance” plays a central role. In turn, this has opened up challenging problems in mathematics and created an entirely new paradigm of “stochastic models” that lies at the heart of many science and engineering models today. During the past decade, Khoshnevisan’s work has revolved around developing mathematical ideas and techniques that aid the rigorous analysis of complex systems in science and engineering.
Khoshnevisan received a Ph.D. from University of California, Berkeley, in statistics in 1989. He joined the faculty at the Massachusetts Institute of Technology for a year and the University of Washington for three years before moving to Utah and the U in 1993 as an assistant professor in mathematics. He has been an honorary fellow at the University of Wisconsin-Madison, a visiting member of the Mathematics Research Institute at Berkeley, as well as the Kavli Institute of Theoretical Physics at the University of California, Santa Barbara. He was a Simons Visiting Professor at the Mathematical Research Institute of Oberwolfach in Germany and an invited professor at École Polytechnique Fédérale de Lausanne, the University of Paris, and the University of Lille. He is a 2015 Fellow of the Institute of Mathematical Statistics (IMS) and was an IMS Medallion Lecturer in 2018.
See the original story @ math.utah.edu