Announcement May 22: After much deliberation, it is with great disappointment that we announce the COVID-19 pandemic has made it inadvisable to conduct an in-person SciX conference in Sparks, NV this October. We are exploring options for delivering on our promise to facilitate a robust scientific exchange in 2020. Please contact firstname.lastname@example.org with questions.
The William G. Fateley Student Award is given by the Coblentz Society annually to recognize outstanding contributions to vibrational spectroscopy during a current Ph.D. program.
William G. (Bill) Fateley was among the first winners (1965) of the Coblentz award, and worked tirelessly to promote the Pittsburgh Conference and FACSS. Author of more than 350 publications and recipient of numerous other awards, he returned to his alma mater, Kansas State University, as chairman of his department in 1972 and served there until his retirement 1997 and beyond. He served as the Editor of Applied Spectroscopy for 20 years, and served as mentor to a generation of spectroscopists.
For more information on the William G. Fateley Student award go to: https://sites.google.com/a/coblentz.org/coblentz/awards/william-g-fateley-student-award
Shachi Mittal, University of Illinois at Urbana Champaign
Shachi Mittal is currently a final year graduate student in the Department of Bioengineering at University of Illinois at Urbana Champaign. Her current research in Prof. Rohit Bhargava’s lab focuses on developing efficient and robust computational models using spectroscopy data for early cancer detection and prognostic assessment, particularly breast cancer. Risk stratification of early stage patients has been a challenge as there are no clinical factors, histopathologic features, or molecular markers that permit reliable assessment of recurrence risk. Consequently, many more women are over diagnosed, resulting in potential short term and long term morbidities as well as healthcare costs. Therefore, precise
diagnosis of in-situ cancer and predictive models for their progression is indispensable for early detection and subsequently improved patient outcome. Her recent work on building digital tools for identifying different disease states and microenvironment analysis using infrared spectroscopic imaging and machine learning can provide more detailed diagnoses for precise treatment planning. She has translated her models to discrete frequency measurements for rapid and efficient clinical translation. Her future goal is to combine patient information obtained from chemical imaging, genomics, proteomics, tissue and patient level disease information to identify multilevel statistical associations to drive improved diagnostics, treatment and management of cancer.
Prior to graduate school, Shachi earned Bachelor’s and Master’s degrees in Biochemical Engineering and Biotechnology from the Indian Institute of Technology, Delhi in 2014. She’s had 13 peer reviewed publications and awards including Baxter Young Investigator award, invited speaker at Annual Engineering PhD Summit in EPFL, Lausanne, Eastern Analytical Symposium Graduate Student Research award, Nadine Barrie Smith fellowship, Beckman Institute Graduate Fellow, Big Data Summer fellowship and Illinois Distinguished Fellowship.
2017 David Bryce
2016 Mustafa Unal
2015 Marie Richard-Lacroix
2014 Chris Huber
2013 Tomasz P. Wrobel
2012 Xiaohua (Sarah) Zhou
2011 Rohith Reddy
2010 Ali Eftekhari-Bafrooei