Lasers Aim to Replace Scalpels in Cutting-Edge Biopsy Technique
Professor Lihong Wang and Postdoctoral Scholar Dr. Junhui Shi have developed a new imaging technique that uses pulses from two kinds of lasers to take pictures of microscopic biological structures. This new approach, called ultraviolet-localized mid-infrared photoacoustic microscopy, or ULM-PAM, develops images of the microscopic structures found in a piece of tissue by bombarding the sample with both infrared and ultraviolet laser light. "Because ultraviolet light and infrared have different properties, we had to find special mirrors and glass that could focus both," Dr. Shi says. "And because no camera exists that can see both, we had to develop ways to see if they were correctly focused." [Caltech story]
Bob McEliece Passes Away
Robert J. McEliece (BS '64, PhD '67), Caltech alumnus and Allen E. Puckett Professor and Professor of Electrical Engineering, Emeritus, passed away on May 8, 2019 at the age of 76. "Bob McEliece was renowned for his contributions to a wide range of problems in information transmission and storage," said EAS Chair Ravichandran. "His contributions are drivers for numerous applications in modern communications. He was an outstanding researcher and a beloved and inspiring teacher, mentor, and colleague." [Caltech story]
Professor Beck Receives Masanobu Shinozuka Medal
James L. (Jim) Beck, George W. Housner Professor of Engineering and Applied Science, Emeritus, has received the American Society of Civil Engineers (ASCE) Masanobu Shinozuka Medal, "for his original contributions to subset simulation in reliability analysis of stochastic systems, a powerful technique that allows probabilistic estimation of rare events; for his pioneering work in developing technologies for machine learning in earthquake engineering applications." The medal is given in recognition of outstanding contributions to the field of stochastic mechanics, reliability and risk and simulation. [List of medal recipients]
Students Chart a Course to Enceladus
Where there is water, there may be life, which is why students participating in the 2019 Caltech Space Challenge were tasked with finding a way to probe Saturn's moon Enceladus. In March 2019, 32 graduate and undergraduate students from around the world met at Caltech, divided into two teams, and designed their best proposals to meet this year’s challenge, with a theoretical budget of $1 billion. "It was important to dream big for this project, but equally important to be practical," explained Caltech aerospace graduate student Fabien Royer who co-organized the event with graduate student Simon Toedtli. [Caltech story]
Undergraduate Students Win International Data Science Competition
Undergraduate students Hongsen Qin, Emma Qian, Thomas Hoffmann, and Alexander Zlokapa (advised by Professors Aaron Ames, Erik Winfree, Jonathan Katz, Maria Spiropulu, and Yaser Abu-Mostafa) have won the Citadel Data Open International Data Science Competition. This winning team chose to investigate the optimal way to spend $1 billion to save lives from malaria and sanitation-related diseases, allocating funds for different prevention methods and optimizing budget breakdowns country by country. To quantify the socioeconomic impacts of their policy proposal, they modeled a variety of aspects from mosquito feeding cycles to climate change using techniques ranging from causal discovery methods to interpretable machine learning. The Caltech team was among 24 teams that were evaluated and questioned by a panel of experts including the former Chief Scientist of AI at Microsoft, a Princeton professor, and the chief of equities at Citadel. The Caltech team was chosen as the first place winner based on the depth, rigor, and comprehensiveness of their analysis.
Katie Bouman Joins EAS and CMS
Congratulations to the entire Event Horizon Telescope team, and especially to Dr. Katie Bouman who is joining the Engineering and Applied Science (EAS) Division in June as assistant professor of computing and mathematical sciences (CMS). Currently, Caltech and CO Architects are working with her to design and construct a unique laboratory that will facilitate her work in computational imaging. The laboratory is the first of its kind and is designed for her to conduct experimental work in conjunction with her computational approaches – making it possible, for instance, to observe phenomena previously difficult or impossible to measure. The black hole imaging is one spectacular example of how Professor Bouman’s algorithms are advancing our knowledge of the world; she has also developed algorithms that let us “see around corners” and detect material properties (such as stiffness and dampness) via imaging. In her work, Bouman has also developed methods to combine information from both imaging as well as acoustic systems to analyze sub-pixel scale vibrations of otherwise seemingly still objects. As a result, relatively inexpensive cameras, combined with powerful algorithms, are an increasingly attractive alternative to complex and expensive laser-based systems to sense “invisible” attributes of a material. [Caltech story - How to Take a Picture of a Black Hole]
Joel A. Tropp Named 2019 SIAM Fellow
Joel A. Tropp, Steele Family Professor of Applied and Computational Mathematics has been elected to the 2019 class of Society for Industrial and Applied Mathematics (SIAM) fellows. He was nominated for his exemplary research as well as outstanding service to the community. He is being recognized for contributions to signal processing, data analysis and randomized linear algebra.
Laser Technology Helps Researchers Scrutinize Cancer Cells
Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, and colleagues are using photoacoustic microscopy (PAM) to improve on an existing technology for measuring the oxygen-consumption rate (OCR). This new method allows the researchers to determine how oxygenated a sample of blood is by "listening" to the sound it makes when illuminated by the laser. Professor Wang calls this single-cell metabolic photoacoustic microscopy, or SCM-PAM. [Caltech story]