Seminar
Semiconductor Technologies for Biological Applications
Speaker : Seoungkyu Ha, PhD
Senior Researcher at IMEC(Interuniversity Microelectronics Centre), Belgium
Nov 2nd 2023, 11:00 AM
The development of instrumentation and sensors for biological molecules has accelerated the speed of discovery and innovation in the field of biology and bioengineering. During the last decades, particularly the rapidly growing semiconductor technologies have supported such development. First, the improvements in diverse optoelectronic sensors, such as high-resolution position sensitive detectors, high-speed photodiodes, and large-area fast image sensors (e.g., CMOS, CCD), have increased both quantity and quality of acquired biological data sets from instrumentation such as optical tweezers, magnetic tweezers, and atomic force microscopes. Second, advanced semiconductor chip fabrication technologies have been applied to enable various nanoelectronic and nanophotonic biological sensors, for example, field-effect transistor- and nanopore-based sensors, respectively, down to single-molecule level. Third, the enhanced performance of computation and data transfer through advanced integrated chips in electronics (e.g., CPU, GPU, and RAM) allows the acquisition, processing, and storage of biological data sets with a higher spatiotemporal sampling rate and an increased level of multiplexing. Moreover, such advancement in computing performance has substantially expanded the capability of in silico approaches for biology and the design of biological tools.
Life After Grad School: How to Navigate an Academic Career
Speaker : Eleanor E.B. Campbell
Sep 8th 2023, 3:00-4:30 PM
Venue: Ewha Womans University Science Building D B106
National Energy Strategy in Era of Carbon Neutrality
Dec 19th 2022 , 3:00-5:30PM
Venue: Ewha Womans University Student Building Theatre
Machine Learning Quantum Emergence
Speaker : Eunah Kim
Oct 26th 2022 , 5PM
Decades of efforts in improving computing power and experimental instrumentation were driven by our desire to better understand the complex problem of quantum emergence. The resulting "data revolution" presents new challenges. I will discuss how these challenges can be embraced and turned into opportunities through machine learning. The scientific questions in the field of electronic quantum matter require fundamentally new approaches to data science for two reasons: (1) quantum mechanics restricts our access to information, (2) inference from data should be subject to fundamental laws of physics. Hence machine learning quantum emergence requires collective wisdom of data science and condensed matter physics. I will present my group’s results on the machine-learning-based analysis of complex data and resulting new insights.
Sustainable Materials to Power the Future
Speaker : Aron Walsh
Sept 14th 2022 , 5PM
The design and discovery of functional materials, tailored for the conversion and storage of energy, can be accelerated using computer simulations. The toolkit for materials modelling is becoming increasingly powerful with an established protocol for known systems. The next challenge is to efficiently explore the vast space of unknown compounds, and to identify materials with the properties required for the next-generation of technologies. This task is being supported by rapid developments in both hardware (classical supercomputers and the first commercial quantum computers) and software (new algorithms and statistical approaches). Transfer of knowledge from the artificial intelligence community has the potential to supercharge chemical discovery by accessing a large phase space of potential compounds that is inaccessible by traditional high-throughput workflows. While providing a snapshot of the status and future direction in this field, I will illustrate developments from our recent progress in solar energy technologies. Current bottlenecks, including the absence of comprehensive structure-property databases and robust screening metrics, will be discussed.
My Journey of Science
Speaker : Eleanor E.B. Campbell
Aug 11th 2022 , 3PM
Next Generations Single Molecule Biophysics
Speaker : Chirlmin Joo
July 29th 2022 , 3PM
Single-molecule studies have revolutionized the field of molecular biology and cell biology due to their high spatial and temporal resolution. In the first part of the seminar, I will present my single-molecule fluorescence work on several prominent biological systems such as microRNA and CRISPR. In the second part, I will present very recent effort in my group on developing two next-generation single-molecule tools—making a first-ever massively parallel single-molecule fluorescence method that will allow for genome-wide single-molecule kinetic studies; and making single-molecule protein sequencers that have a potential for protein discovery and early disease detection. When these methods are further developed to study intrinsically complex biological phenomena, they will make breakthroughs in biology, biotechnology, and medical sciences.