- Data Science Fellow; Postdoc - Astronomy
Chi-kwan Chan works with cutting edge technologies to advance scientific research. An avid coder and an expert in computational astrophysics and high performance computing, Chi-kwan has developed new algorithms to solve complex physical systems, used graphics processing units (GPUs) to accelerate numerical simulations, designed cloud computing infrastructures to handle large data sets, and applied machine learning algorithms to speed up and automate data processing. Some of Chi-kwan's active projects include capturing images of black holes (the Event Horizon Telescope project) and visualizing numerical simulations in virtual reality.
At Data7, Chi-kwan finds synergy in data science and physical science to advance interdisciplinary research. He has been developing algorithms originally used by data scientists to advance astrophysical research and writing codes originally used by physicists to solve new data science problems. A true wildcat, Chi-kwan received his bachelors and doctoral degrees from the University of Arizona. Chi-kwan is also an astronomer at the Steward Observatory.
- Postdoc - Computer Science
Md Iqbal Hossain is a research scientist of Computer Science department at University of Arizona. Dr. Hossain earned a Ph.D. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET). He was a postdoc at Computer Science department at the University of Arizona. His areas of expertise include network analysis and visualization, design and analysis of algorithms, natural language processing (NLP) and machine learning (ML).
He works on UAMAP: Knowledge map of University of Arizona. UAMAP project analyzes and visualizes research contributions, funds, collaborations, and citations of different universities in the US.
- Postdoc - Molecular and Cellular Biology
Xia did a postdoc in the labs of Prof. Guang Yao and Prof. Ryan Gutenkunst in Molecular and Cellular Biology at the University of Arizona in 2015-2018. He joined Data7 as a postdoc under the guidance of Prof. Helen Zhang. Xia is interested in applying bioinformatic and statistical machine learning methods, as well as molecular and cell biology methods, to study the Rb-E2F gene network controlling the quiescent states of stem and progenitor cells.