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Leonard Campanello (Ph.D. ’20, physics) spent the last three years on an ambitious mission—helping billions of Google Maps users find exactly what they’re looking for.

“I worked on the search function for Google Maps: you move the screen to a section of the map where you want to look for restaurants or hotels or things to do, add filters or attributes, like it has to be dog friendly or have a waterfront view,” Campanello explained. “And you want Google Maps to give you the best answer every time.”

As a Senior Data Scientist at Google, Campanello’s work brought science to the search process, applying the interdisciplinary physics training he received as a Ph.D. student in Professor Wolfgang Losert’s lab at the University of Maryland. Working on the Google Maps team, Campanello put his experience with models, algorithms, and analytics to work to better understand Maps users and optimize their search results.

“So, when you first issue a search, there's a list of places in a particular order. That order is carefully controlled,” Campanello explained. “We’ve proven that changing ranking algorithm has a material impact on the user's experience, and, at the end of the day, we need to know, did we have a net positive or a net negative effect on users? And we always strive to go in the net positive direction.”

As a scientist, Campanello has always been passionate about finding the stories hidden in data and building statistical models that capture the essence of the data, putting his physics skill set to work to answer a question or solve a problem.

“At the core of many problems in both physics and data science, I think we are trying to understand the data generating process so that we can better explain the fundamental physical phenomena driving what we see,” Campanello explained. “We observe that applying a force results in some change in a measurable quantity, whether the subject is a Google Maps user or a cell under the microscope. What's going on in the background that's fundamentally causing that change? How can we use this information to better understand our world? That’s what we want to find out.”

All in on physics

Campanello was a strong student who went all in on science and math since high school and earned a bachelor’s degree in physics from St. John’s University in 2013. Then, still unsure about how physics would translate into a future career, Campanello decided to pursue his Ph.D. at UMD, where he would have access to various options.

“I didn't know that what I wanted to do with enough certainty that I could commit to a graduate school that was kind of one dimensional,” Campanello recalled. “UMD had a massive physics department with a diversity of people in experiment and theory, whether it was condensed matter or high energy or biophysics or whatever, and that range of options was what ultimately kind of pulled me to UMD.”

After spending his first year working in condensed matter theory, a class with Physics Professor Michelle Girvan gave Campanello a whole new perspective.

“The class was nonlinear dynamics of extended systems and to this day it's probably the most influential class I ever took,” Campanello said. “Her problem-solving approach, including using graph theory and complex systems models, which I was never exposed to before, was eye-opening. We could actually create mathematical representations of all of these phenomena that we see in the world. And I was just wowed.”

At Girvan’s suggestion, Campanello joined Losert’s lab and began his Ph.D. research quantifying and modeling different dynamic processes, specifically complex interactions in biological systems.

“We already knew what some of the interactions were, so we knew that if we put this immune cell in the presence of some material, the immune cell would react in a specific way, which we could also measure under a microscope,” Campanello explained. “So given this set of biochemical information on the way these things behave short-term, medium-term and long-term, we said, how can we fit mathematical models to the microscope data and then use this to make inferences about this system as a whole?”

Opportunities, collaborations and simulations

Campanello took advantage of many opportunities at UMD, from teaching multiple MATLAB Boot Camps on image processing, computer vision and data analysis to coaching teams of data science students for the annual university-wide Data Challenge competition. Meanwhile, his continuing work in Losert’s lab exposed him to a world of possibilities.

“Wolfgang gave me and everyone in his lab the opportunity to work on so many different projects and collaborations with the National Institutes of Health and others, whether it was fundamental cell biology to projects on the interface of immunotherapies and autoimmune diseases to cancer, it's just crazy how much exposure we had,” Campanello noted. “He would help us identify opportunities to apply our analysis and modeling tools, give us guidance on the projects, and then let us to run with it. I really appreciated that.”

Campanello earned his Ph.D. in August 2020 and continued to do research at UMD for about six months before landing a job at Citibank in early 2021, applying his experience in modeling and analytics to consumer banking. 

Later that same year, he accepted a very different kind of opportunity at Google, working with the team that supports Google Maps to evaluate, advance and improve its ever-expanding search functions and, later, new capabilities, thanks to the addition of artificial intelligence.  

“The team is like 30 or so engineers, product managers, designers, user-experience researchers, and I was the one data scientist,” Campanello explained. “One of my primary responsibilities when I first joined was to create metrics or measurements that were absolute—meaning not open to interpretation—and I spent a lot of time doing research in that area to ensure that those measurements aligned with what we wanted for the user. What do we measure to know if we made the experience better?”

A new opportunity

In February 2025, after more than three years at Google, Campanello left to join Optiver, an Amsterdam-based global market maker that buys and sells securities to provide liquidity to markets. In this new position, he’ll again leverage his physics skill set, this time as a quantitative researcher.

“Part of my role will be to help improve the team's predictions in order to make better trading decisions. Can we make predictions right now about what will happen later today or later this hour or even just one minute from now?” Campanello explained. “If we can put numbers to these things and build models that accurately predict outcomes, then we can ultimately use those models to improve liquidity for all market participants.”

Fascinated by finance—and still inspired by the power of physics—Campanello looks forward to this next opportunity to grow.

“I've always had an interest in finance and what I'm looking forward to the most in this new role is the ability to really further my skill set,” Campanello said. “I want to get more exposure to what's happening at the bleeding edge of modeling and data science in quantitative finance. And I think this will be a good avenue for me to do that.”

Written by Leslie Miller

Kiyong Kim Elected as a Fellow of Optica

Kiyong Kim has been selected as a 2025 Optica Fellow for his pioneering contributions to the generation and understanding of terahertz radiation from strong laser field interactions with matter.  He is one of 121 members, from 27 countries, selected for their significant contributions to the advancement of optics and photonics through education, research, engineering, business leadership and sKiyong KimKiyong Kimervice.

Kim received his B.S. from Korea University and his Ph.D. from the University of Maryland. His graduate research focused on measuring ultrafast dynamics in the interaction of intense laser pulses with gases, atomic clusters, and plasmas. This work earned him the Marshall N. Rosenbluth Outstanding Doctoral Thesis Award from the American Physical Society.

Following his doctoral studies, Kim moved to Los Alamos National Laboratory as a Director’s Postdoctoral Fellow and while there received a Distinguished Performance Award. After accepting a position as an Assistant Professor at the University of Maryland in 2008, he received a DOE Early Career Research Award and an NSF Faculty Early Career Development Award. Kim also received the departmental Richard A. Ferrell Distinguished Faculty Fellowship in 2014.

From 2021 to 2022, Kim held appointments at Gwangju Institute of Science and Technology (GIST) and the Center for Relativistic Laser Science (CoReLS) at the Korean Institute for Basic Science, leading experiments on petawatt laser-driven electron acceleration, nonlinear Compton scattering of petawatt laser pulses and GeV electrons, and high-power terahertz generation.

With colleagues in physics and the Institute for Research in Electronics & Applied Physics (IREAP), he is co-PI on a $1.61M Major Research Instrumentation (MRI) award from the National Science Foundation (NSF) to upgrade high-power laser systems at UMD.

 

UMD Physicist Helps Sculpt Quantum Mechanics into Reality

In 2020, physicist Nicole Yunger Halpern received a rather unusual email out of the blue. Bruce Rosenbaum, a Massachusetts-based artist dubbed “the steampunk guru” by The Wall Street Journal, watched one of her lectures about quantum thermodynamics and was interested in collaborating with her. Rosenbaum saw something extraordinary in Yunger Halpern’s work—in terms of cutting-edge science and artistic possibility. 

For Yunger Halpern, who coined the term “quantum steampunk” while earning her Ph.D. in theoretical physics at the California Institute of Technology, it almost felt like scientific serendipity. 

“It’s been a privilege to interact with someone who is based in such a different world. I’m in physics, Bruce is in art. And yet, we both have a very strong shared interest in connecting the steam-powered world of the Industrial Revolution to today,” said Yunger Halpern, who is a theoretical physicist at the National Institute of Standards and Technology, a fellow of the Joint Center for Quantum Information and Computer Science, and an adjunct assistant professor in the Department of Physics and the Institute for Physical Science and Technology at the University of Maryland.Quantum steampunk sketch by Jim SuQuantum steampunk sketch by Jim Su

The unusual partnership kicked off a multi-year quest to craft a piece of art that could represent two very different worlds. For weeks, Yunger Halpern and Rosenbaum worked over weekend Zooms and emails to brainstorm before enlisting others to help bring their ideas to life. 

In late 2024, they finally created their masterpiece: an eight-inch diameter sculpture that marries steampunk (a popular genre that combines Victorian-era aesthetics like brass, gears and steam with modern technology) with quantum physics (a rapidly evolving field that deals with how things work at the tiniest possible scales). At these tiny levels, objects don’t behave the same way as they do in our everyday world—for example, things can exist in multiple states at once, like a coin that, in some ways, behaves as though it were both heads-up and tails-up simultaneously.

Inspired by these strange behaviors present in quantum physics, Yunger Halpern and Rosenbaum focused their project on the concept of quantum engines, devices that convert energy from one form to another. According to Yunger Halpern, even a single atom can function as an engine, transforming random microscopic motion into useful energy. 

“Our sculpture depicts an engine that can operate at the atomic scale to convert heat energy— which is random, the energy of particles alwaysQuantum steampunkQuantum steampunk jiggling around—into useful work. Work is coordinated energy, the kind that charges our computers and powers our factories,” Yunger Halpern explained. “Like the steam-powered tech of the Victorian era, this engine relies on thermodynamic properties to make its conversion. We wanted to bring those two themes from very different periods of history together.”

Linking quantum and art for all

Creating this visual representation of the invisible quantum world required an unusual team with varied skills. Rosenbaum brought in illustrator Jim Su for the initial designs and design engineering company Empire Group fabricated the sculpture. Rosenbaum and Yunger Halpern coordinated a careful balance between artistic vision and scientific accuracy at every stage of the project. Gradually, the team grew to include other UMD faculty and staff members, including Distinguished University Professors Christopher Jarzynski and William Phillips, Senior Faculty Specialist Daniel Serrano and Scientific Development Officer Alfredo Nava-Tudela. The UMD Quantum Startup Foundry and Caltech’s Institute for Quantum Information and Matter also pitched in.

The result was a metallic, partially 3D-printed sculpture measuring eight inches in diameter, an eclectic mashup of both quantum science principles and artistic sensibilities. 

“Everyone shared their expertise to create our final product, whether they offered scientific or artistic contributions,” Yunger Halpern said. “It’s something we are all very proud of.”

Supported by UMD’s Arts for All program, the sculpture will make its debut at the American Physical Society’s Global Physics Summit in March 2025 in honor of the United Nations’ Year of Quantum Science and Technology. After its premiere, the sculpture will head to Caltech before finding a home at UMD. 

But Yunger Halpern and her partners have ambitions beyond this first tabletop creation. They hope to create a much larger and grander version of their steampunk sculpture in the near future—complete with antique brasses, lasers, touchscreens and other high-tech interactive and moving elements.

“We have plans for our sculpture’s next iteration, but it’s still early in the fund-gathering process,” Yunger Halpern said. “For now, we’re focusing on sharing our tabletop quantum engine with the world and creating a tangible connection to what’s usually an invisible world. We hope that it’ll capture that sense of adventure in quantum thermodynamics for scientists and art enthusiasts alike.”

 

Written by Georgia Jiang

Connecting the Quantum Dots

Physics Ph.D. student Anantha Rao tests ways to build bigger and better quantum computers.

Anantha Rao grew up in Bengaluru, a city known as India’s tech hub due to its bustling startup culture and many international IT corporations. While many of Rao’s peers pursued engineering and related subjects, Rao’s love of science and knack for solving mathematical problems nudged him in a different direction.

“Everyone around me was an engineer or wanted to be one, and that is one thing I did not want to be,” Rao said. “I had this rebellious nature of going against the crowd, but I also wanted to solve fundamental problems in the basic sciences for the love of it—not for immediate applications.”

Rao discovered his calling after winning a high school physics competition. As a prize, he received a book written by Richard Feynman, a theoretical physicist who laid the groundwork for the field of quantum computing more than 40 years ago, and the field’s endless applications captivated Rao.

“Quantum computing has applications in studying how drug molecules bind to receptors or decrypting credit card transactions. You could study models of how the universe was created or see how the first molecule came into the picture,” Rao said. “Using ideas from quantum mechanics and computer science, you can also build better quantum computers, which is the problem that I’m looking at today.”

Now a Ph.D. student in the University of Maryland’s Department of Physics and Joint Center for Quantum Information and Computer Science (QuICS), Rao probes the fundamental physics that could power the next generation of quantum computers. He said he’s grateful for the chance to pursue that challenge in the “Capital of Quantum” at UMD.

“UMD is one of the top schools in the world for quantum information, especially theory,” Rao said. “Ten years ago, if someone told me that I'd be here now, I would feel like it is a dream.”

Tackling malaria with tech

Before moving to the United States, Rao was a full-time physics student and part-time entrepreneur in India. While Rao was enrolled in a combined bachelor’s and master’s program at the Indian Institute of Science Education and Research Pune, he cofounded a startup to develop diagnostic tools for diseases like malaria, a mosquito-borne infection that kills an estimated 608,000 people per year, according to the U.S. Centers for Disease Control and Prevention.

The software he developed, dubbed Deep Learning for Malaria Detection (DeleMa Detect), relied on artificial intelligence (AI) to search patients’ blood smear images for the signs and stages of malaria infection. This technology is packed into a small, portable device, reducing the need for lab tests that can be costly and inaccessible in many parts of the world.

Rao’s startup received a $50,000 grant and won top prize at the International Genetically Engineered Machine (iGEM) 2021 Startup Showcase. Rao has since moved on to other projects but said his early entrepreneurial experience taught him lessons about project leadership and collaboration that he applies to his research every day.

“I learned a lot about AI during my brief stint with entrepreneurship, and that’s something I've been working on lately—using AI to solve problems in physics,” Rao said. “My main motivation now is: What are the toughest problems out there and how can I solve them?Rao at TU Delft.Rao at TU Delft.

Since joining UMD’s physics Ph.D. program in 2023, he has been working to identify—and answer—those questions, one at a time.

The making of MAViS

One of Rao’s biggest ongoing projects is a collaboration between UMD, the National Institute of Standards and Technology and Delft University of Technology in the Netherlands. He has been leading the Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays (MAViS) project, which aims to advance research that could lead to bigger and better quantum dot-based quantum computers.


Central to this concept are quantum dots, tiny semiconductor particles that serve as the building blocks of some quantum computers. These quantum computers operate at temperatures close to absolute zero, or −273.15 degrees Celsius—conditions that prompt the chips to engage in quantum mechanical behavior.

“The chips in your phone and chips in your laptop are made up of semiconductors, and similarly, we have quantum computers made out of semiconductors, except they operate at the coldest temperatures in the universe,” Rao explained. “The problem is you can't control them very well and you have a lot of unwanted interactions coming in.

To control each quantum dot, voltages must be applied to electrodes in their vicinity. Isolating this task can be tricky, though, because quantum dots are spaced just a few nanometers apart.

“What MAViS offers is a way to independently control each quantum dot in a very scalable and efficient way. This is a process called virtualization,” Rao explained. “Most importantly, it’s completely automatic. You press a button and MAViS solves a lot of equations faster than any human.”

By finding ways to offset unwanted interactions, which can introduce errors, researchers can make quantum computers run more efficiently and accurately. MAViS also uses “a little bit of AI” to enable corrections in real-time, Rao said.

Rao and his collaborators have seen encouraging results after testing MAViS on some of the world’s largest quantum dot devices in the Netherlands. MAViS successfully enabled researchers to operate and more efficiently control quantum dots, which in turn helps them control qubits—the fundamental building blocks of quantum computers.

Rao explained that one of the benefits of MAViS is that it works quickly and could free up time for researchers to focus on deeper tasks.

“We were able to do a task in about four hours that would have taken a month or two months of human effort,” Rao said. “Without MAViS, a lot of people with doctorate degrees would have needed to stare at computer screens and analyze complicated images to solve this problem. Now, researchers can automatically ‘virtualize’ their quantum dots and perform interesting experiments.”

Aside from his research with MAViS, Rao said his research on semiconductor qubits has also revealed some unusual physics, including elusive crystals made entirely of electrons.

“Another question in my research is: If you have these semiconductor quantum dots or quantum computers, what is some interesting physics that one could study in one dimension or two dimensions?” Rao said. “We've found evidence that exotic phases of matter—something called Wigner crystals—could be found in these devices.”

Giving back

As Rao dives deeper into quantum physics, he continually seeks ways to share his knowledge. MAViS and many of Rao’s past research projects involve open-source code so that the community at large can benefit.

“Since undergrad, I’ve wanted to give back to the community as I’ve learned things, and one way is through open-source projects and mentoring other students,” said Rao, who also worked as a teaching assistant and served on graduate student committees at UMD. “We hope to eventually make MAViS open source so that people anywhere in the world can build better, scalable quantum-dot quantum computers.”

After Rao graduates, he hopes to find a job that will enable him to keep tackling the big questions in quantum physics, whether that’s in academia or private industry.

“My pursuit is the best research and the best science that I can do today, and I believe that approach will give me the right opportunity in an academic lab or industry lab,” Rao said. “There are a lot of problems to solve in quantum, and I’m working toward solving them one at a time.”

Written by Emily Nunez; published March, 2025

Malcolm Maas Named 2025-26 Churchill Scholar

University of Maryland senior Malcolm Maas has been awarded a 2025-26 Churchill Scholarship, joining only 15 other science, engineering and mathematics students nationwide in winning the prestigious honor. 

“We could not be prouder of how Malcolm Maas represents the University of Maryland to the world,” said Amitabh Varshney, dean of UMD’s College of Computer, Mathematical, and Natural Sciences. “Malcolm is a phenomenal student researcher who is driven to understand complex world problems like climate change and provide innovative solutions to them.”Malcolm Maas. Photo courtesy of same.Malcolm Maas. Photo courtesy of same.

Maas, who plans to graduate in three years with bachelor’s degrees in atmospheric and oceanic science (AOSC) and physics, will receive full funding to pursue a one-year master’s degree at the University of Cambridge’s Churchill College in the United Kingdom. The scholarship covers full tuition, a competitive stipend, travel costs and the chance to apply for a special research grant. 

Maas plans to pursue a Master of Philosophy degree in mathematics.

“I feel incredibly honored to have received this scholarship, and I’m very grateful to everyone who has supported me on my way here,” Maas said. “I’m excited for the opportunity to explore atmospheric dynamics further and to experience Cambridge next year.”

A total of 127 nominations this year came from 82 participating institutions. Ten UMD students have been nominated in the past seven years—and nine of them have been named Churchill Scholars.

“The University of Maryland’s remarkable success in racking up Churchill Scholarships testifies to the excellence of the research opportunities and mentorship our undergraduates receive,” said Francis DuVinage, director of UMD’s National Scholarships Office. “Malcolm Maas’ record of accomplishment as a third-year senior puts him in a class by himself.”

Since 2022, Maas has been working with AOSC Associate Professor Jonathan Poterjoy on fundamental challenges associated with environmental prediction and validation of atmospheric modeling systems. Specifically, he is quantifying the degree to which commonly used data assimilation methods shift models away from physically plausible solutions due to commonly adopted but incorrect assumptions. Maas presented their work in January 2025 at the American Meteorological Society Annual Meeting.

“Malcolm initiated our research collaboration on his own and I fully expect him to draft a first-author paper that we submit for publication this year,” Poterjoy said. “I feel that Malcolm can succeed in virtually any field, and I am pleased to see that he chose a research career in atmospheric science where his talents can have broad human impact.” 

Maas’ research interests and experiences extend beyond his work with Poterjoy and currently range from weather time scales to climate time scales. 

In summer 2024, Maas interned at the University of Chicago with Geophysical Sciences Professor Tiffany Shaw, where he assessed extreme heat and atmospheric circulation trends associated with Arctic sea ice loss in climate models and observational datasets. He presented this work at the American Geophysical Union’s Annual Meeting in 2024.

In summer 2023, Maas participated in the undergraduate summer intern program at the Lamont-Doherty Earth Observatory and worked on a project with Kostas Tsigaridis, a research scientist at Columbia University and the NASA Goddard Institute for Space Studies. Maas used a large dataset of Earth system model simulations to explore the effects of volcanoes on climate and atmospheric sulfur. He used machine learning to develop a tool that estimates where unidentified historical eruptions happened based on ice core data. Maas presented this work at the European Geosciences Union’s General Assembly in 2024 in Austria.

When Maas arrived at UMD in 2022, he joined a group of AOSC students installing and managing a micronet—a small-scale network of weather sensors—across the university’s campus. Five weather stations now provide minute-by-minute updates on the temperature, wind speed, pressure, dew point and rain rate on campus. Maas helped create the data collection system and user-friendly graphs to visualize the data, which are displayed on the UMD Weather website.

When the university and the Maryland Department of Emergency Management installed their first weather tower as part of the Maryland Mesonet in 2023, they asked Maas to quickly adapt his micronet visualization tools to work with the mesonet data. The 23 towers operational around the state—with more than 70 planned—help to advance localized weather prediction and ensure the safety of Maryland's residents and visitors.

For his Gemstone honors research project, Maas and 10 teammates have been working with UMD Mechanical Engineering Professor Johan Larsson to optimize the shape of marine propellers.

In high school, Maas helped build the first global tornado climatology database. He gathered and processed historical data for over 100,000 tornadoes that occurred around the world. The project’s website raked in 160,000 page views during its first year, and the work was published in the Bulletin of the American Meteorological Society in 2024.

Outside of class, Maas plays the pipe organ, represents the Ellicott Community on the Student Government Association, tutors with the Society of Physics Students and is a member of the Ballooning Club. He received a Barry M. Goldwater Scholarship, National Merit Scholarship, President’s Scholarship and the Department of Physics’ Angelo Bardasis Scholarship.

After his time at the University of Cambridge, Maas plans to pursue a Ph.D. in atmospheric science.