Plenary Speakers at mmc2021
Professor Buzz Baum
Buzz studied Biochemistry at St Catherine’s College, Oxford. He worked on the yeast cell division cycle during his PhD (1993-1997) with Paul Nurse at Cancer Research UK, then on fly cell shape with Norbert Perrimon at Harvard Medical School for his post-doc. In 2001 he was awarded a Royal Society URF to return to the UK as a group leader. In 2007 his team moved to UCL’s MRC Laboratory for Molecular Cell Biology, where he also served as Director of UCL’s Institute for the Physics of Living Systems. Most recently, in 2020, he moved to the LMB in Cambridge where he now has his lab.
Presentation Title - The Archaeal Origins of the Eukaryotic Cell
Professor Joanne Etheridge
Monash University, Australia
Joanne Etheridge is the Director of the Monash Centre for Electron Microscopy and Professor in the Department of Materials Science and Engineering at Monash University. She obtained a degree and PhD in physics from the University of Melbourne and RMIT University, respectively, before appointments at the University of Cambridge in the Department of Materials Science and Metallurgy and Newnham College, including a Rosalind Franklin Research Fellowship and a Royal Society University Research Fellowship. She returned to Melbourne to join Monash University where she established the Monash Centre for Electron Microscopy. She conducts research in the theory and development of new electron scattering methods for determining the atomic and electronic structure of condensed matter. She also applies these methods to the study of structure-property relationships in functional materials, including including ion-conducting, photoactive, plasmonic and semiconductor systems. She is a Fellow of the Australian Academy of Science.
Professor Joanne Etheridge is the EMAG Plenary Speaker at mmc2021
Presentation Title - Finding the atoms that matter in functional materials - adventures with 4D-STEM
Professor Janet Iwasa
University of Utah, USA
Janet Iwasa is an Assistant Professor in the Biochemistry Department at the University of Utah. Her group, the Animation Lab, is broadly interested in creating accurate and compelling molecular visualizations that will support research, learning and scientific communication. After receiving a Ph.D. from the University of California, San Francisco for studies of the actin cytoskeleton in Dyche Mullins’ lab, she completed a postdoc with Jack Szostak (Massachusetts General Hospital and Harvard Medical School) where she focused on visualizations of the origins of life. Before moving to Utah, she worked on molecular visualizations as a faculty member in the Cell Biology department in Harvard Medical School.
Presentation Title - Animating Molecular Machines
Dr Olga Ovchinnikova
Oak Ridge National Laboratory, USA
Dr. Olga Ovchinnikova graduated from the University of Tennessee, Knoxville (UTK) with a B.S and M.S. degrees in physics. She received her PhD from the University of Tennessee, Knoxville in Chemical Physics where her research focused on developing chemical imaging approaches supported by a Chemical Physics Fellowship. Following her postdoc at ORNL, she worked as R&D Scientist and Chemical Imaging Team Lead at the Center for Nanophase Materials Sciences (CNMS) at ORNL. Her team focused on investigating relationships between physical structure and chemical functionality at the nanoscale through the unique merger of advanced scanning probe and ion microscopy with chemical imaging techniques rooted in innovative data processing, machine learning and control algorithms. Currently she is a Senior R&D scientist and the Group Leader of the Multimodal Data Analytics group in the Computational Sciences and Engineering Division where her research focuses on incorporating high performance computing (HPC) and edge computing directly into streaming data pipelines for multimodal chemical imaging and microscopy. Her work has generated multiple patents, and commercial licenses to industry and has been recognized by the Fowler-Marion Dissertation Award, UT-Battelle Early Career Award, AVS Rising Stars Award, UTK Research Foundation Patent Award, and the Rapid Communications in Mass Spectrometry Beynon Prize.
Presentation Title - Unravelling the Origins of Functionality through Correlative Multimodal Chemical Imaging
Dr Aydogan Ozcan
University of California, Los Angeles, USA
Dr. Ozcan is the Chancellor’s Professor and the Volgenau Chair for Engineering Innovation at UCLA and an HHMI Professor with the Howard Hughes Medical Institute, leading the Bio- and Nano-Photonics Laboratory at UCLA and is also the Associate Director of the California NanoSystems Institute. Dr. Ozcan is elected Fellow of the National Academy of Inventors (NAI) and holds 41 issued patents and >20 pending patent applications and is also the author of one book and the co-author of >700 peer-reviewed publications in major scientific journals and conferences. Dr. Ozcan is the founder and a member of the Board of Directors of Lucendi Inc., Pictor Labs and Holomic/Cellmic LLC, which was named a Technology Pioneer by The World Economic Forum in 2015. Dr. Ozcan is also a Fellow of the American Association for the Advancement of Science (AAAS), the International Photonics Society (SPIE), the Optical Society of America (OSA), the American Institute for Medical and Biological Engineering (AIMBE), the Institute of Electrical and Electronics Engineers (IEEE), the Royal Society of Chemistry (RSC), the American Physical Society (APS) and the Guggenheim Foundation, and has received major awards including the Presidential Early Career Award for Scientists and Engineers, International Commission for Optics Prize, Biophotonics Technology Innovator Award, Rahmi M. Koc Science Medal, International Photonics Society Early Career Achievement Award, Army Young Investigator Award, NSF CAREER Award, NIH Director’s New Innovator Award, Navy Young Investigator Award, IEEE Photonics Society Young Investigator Award and Distinguished Lecturer Award, National Geographic Emerging Explorer Award, National Academy of Engineering The Grainger Foundation Frontiers of Engineering Award and MIT’s TR35 Award for his seminal contributions to computational imaging, sensing and diagnostics.
Presentation Title - Deep Learning-enabled Computational Microscopy