Johns Hopkins researchers Dingchang Lin, Ziquan Zhuang named Packard Fellows

Materials scientist Dingchang Lin and mathematician Ziquan Zhuang have each been awarded a 2024 Packard Fellowship for Science and Engineering, a prestigious award that provides the nation's most promising early-career scientists and engineers with flexible funding and the freedom to take risks and explore new frontiers in their fields of study. This year's class of 20 fellows will each receive grants of $875,000 over five years.

Since its founding in 1988, the David and Lucile Packard Foundation has awarded fellowships to 19 scientists and engineers (including this year's honorees) affiliated with Johns Hopkins. Of those 19 fellowships, seven were awarded in the past five years.

Packard Fellowships support visionary work by providing unrestricted funds that can be used in any way the recipients choose, including paying for necessities like child care. This latitude gives fellows the opportunity to experiment and lead cutting-edge research which has led to critical advancements that impact daily life.

Image caption: Dingchang Lin

Image credit: Will Kirk / Johns Hopkins University

Dingchang Lin is an assistant professor in the Department of Materials Science and Engineering in the Whiting School of Engineering. In Lin's field, one of the ultimate aspirations is to map the dynamics of all cells of interest within an intact organ or organism in space and time, a goal that has yet to be achieved. He hopes to fulfill this ambition through a new sensing modality that records the activity history in individual cells for endpoint readout. Cells continuously respond to internal and external cues through intricate, coordinated, and dynamic signaling networks. Understanding these networks is essential for unraveling the mechanisms underlying health and disease. The Lin Lab harnesses advances in materials science, synthetic biology, and protein engineering to develop tools that spatiotemporally map cellular activities in living animals.

By leveraging in cellulo protein assemblies as molecular memory, his team will develop intracellular recording platforms that are genetically encodable, orthogonal to cell processes, generalizable for mapping diverse cellular events, and applicable for in vivo recording. He will also create computational methods to retrieve recorded signals at high throughput, generating spatiotemporal maps of cell dynamics throughout the entire organ.

Lin received his bachelor's degree in materials science and engineering from Tsinghua University in China in 2013 and completed his PhD in materials science and engineering at Stanford University in 2018. He received his postdoctoral training in chemistry and chemical biology at Harvard University. Lin has received many awards, including the a Department of Defense Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP) Award (2022), NIH NIGMS MIRA Award (2022), the Harvard Brain Institute Young Scientist Transitions Award (2021), MRS Graduate Student Award (2018), and Ross N. Tucker Memorial Award (2017). Lin has been recognized as the Web of Science (Clarivate) Highly Cited Researcher since 2019.

Image caption: Ziquan Zhuang

Image credit: Will Kirk / Johns Hopkins University

Ziquan Zhuang is an associate professor in the Department of Mathematics in the Krieger School of Arts and Sciences. Zhuang's research lies in algebraic geometry, a branch of pure mathematics that studies algebraic varieties, which are geometric objects defined by polynomial equations in several variables. In his research, he aims to find and classify algebraic varieties with nice geometric structures, such as metrics with constant curvature. His goal is to systematically develop moduli and stability theories for algebraic varieties and their singularities, and use these theories to address foundational questions in birational and complex geometry.

Some of the questions he tries to address are concerned with spaces in all dimensions that carry special metrics (such as Kähler-Einstein metrics) which align with Einstein's equation, whose solutions often governed by delicate mathematical structures of the underlying spaces. He develops tools from algebraic geometry to understand these structures, with a particular focus on their K-stability and birational geometry.

Zhuang earned his bachelor's degree in mathematics from Peking University in China in 2014 and his PhD in mathematics from Princeton University in 2019. He conducted postdoctoral research at Massachusetts Institute of Technology. Zhuang has received the Sloan Research Fellowship (2023), a National Science Foundation Career Award (2023), a Frontiers of Science Award from the International Congress on Basic Science (2023), and a Clay Research Fellowship from Clay Mathematics Institute (2022).