Founder of Molecular Materials Informatics, which is dedicated to bringing cheminformatics to modern computing platforms (mobile, web, cloud, etc.). Outspoken advocate for increased awareness of chemical information technology by experimental chemists, in order to make the results of their experiments usable by machine learning algorithms, as well as other expert humans. Card-carrying former experimental chemist, software engineer from a young age, with many years spent creating software for computer-aided drug design. For more information, see LinkedIn Profile and Cheminformatics 2.0 blog.
I have been involved in chemical databases and chemical information since the early 1970's. From the NIH/EPA/NIST mass spectral database to the NIH/EPA Chemical Information System (CIS) to the Open Source IUPAC International Chemical Identifier (InChI) I have seen the explosion of electronic information. This vast explosion of electronic information, coupled with the Internet has created the opportunity to connect these many, many silos and islands of data and information. Since what we are looking to access, analyze and understand is associated with a chemical, the ability of the InChI chemical identifier linking these sources is critical to progress. I am currently the Project Director of the InChI Trust, a non-profit UK charity that is responsible for the support and expansion of the Open Source InChI algorithm. Leaning the skills to find information and data is critical to all those students in chemistry. That is why I am so enthusiastic about being involved in this online intercollegiate course in Cheminformatics/Chemical Information Sciences.
Sunghwan Kim is a Staff Scientist at the National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH). As a computational chemist and cheminformatician, he is actively involved in the PubChem project, which develops and maintains a small-molecule database called PubChem. Specifically, his research has been focused on building and improving “PubChem3D”, which is PubChem’s chemical information resource derived from 3-dimensional (3-D) molecular structures. He holds a M.Sc. in Inorganic Chemistry (from Hanyang University, South Korea) and a Ph.D. in Physical Chemistry (from the University of Georgia at Athens).
I am an Assistant Professor of Chemistry at The University of Minnesota Rochester's “Center for Learning Innovation”. I am interested in figuring out in what ways technology can help learning and it what ways it hinders it. I have authored several web platforms that make use of graphical interfaces to learn chemistry. Models 360 is a collection of several hundreds of molecules, where properties such as structural symmetry, vibrations and electrostatic maps can be displayed with the Jmol applet. More recently, I developed ChemEd X Data as a graphical tool to help students navigate through large amounts of chemical and physical data and build their own knowledge by figuring out on their own trends and exceptions. I am also interested in assessing how much learning or how different the learning is when we move from a face-to-face classroom environment to an interconnected computer environment. This is why I am thrilled to be part of the OLCC project and learning in what ways the new communication technologies can overcome the current barriers of our educational system.
I am a PHD (Chemical Informatics ) student at Indiana University Bloomington working with Prof David Wild at the chemgenomics and cheminformatics lab .Before joining here I was a Banker at State Bank of India.