#DATAGRAPH MIPS SOFTWARE#
Interfaces to ophthalmic software (Datagraph, PeriData, HRT EE, VisuCam, TOPCON IN I-base, Topcon EyeRoute etc.).Integration of all ophthalmic devices (400+).
Practice management system and HIS interfaces.Nuevita EMR is CCHIT Certified® and uses secure Internet-based technology, just like our clinic management system. The ifa system is based on a structured data model forĬhartLogic™ is an Electronic Medical Office (EMO) for the Ophthalmology specialist and customized for the needs of your practice. The ifa group is the international leading EMR vendor with over 20 years of experience. The SETs and the interdisciplinary nature of BioPACIFIC MIP fits my goal perfectly.ChartLogic™ Ophthalmology Electronic Medical Office Coming from computer science, it is important to me that my research is not only theoretically sound, but also meaningful in terms of its application domain, hence my interest in chem-informatics and material science. As a BioPACIFIC MIP Fellow, I would have great opportunities to interact, exchange idea, and potentially collaborate with my peers and my seniors, both within and outside of my field, whose research topics align with my own interest. Personally, I would love to be in an extended group doing interdisciplinary research.
The BioPACIFIC MIP community is an excellent environment for me to grow academically and professionally. What excites you about NSF BioPACIFIC MIP? Discovery of design patterns responsible for certain properties is a closely related task that aids the inverse problem. The adaptation of state-of-the-art generative models (VAE and GAN) to goal-directed molecule generation has achieve significant performances although limitations still exist due to the scarcity of data. Synthesis (Inverse Problem): The inverse problem, involving the design of a material which possesses a set of desired properties, is also of central importance. Graph neural networks are the de facto method for such task with new research directions on more expressive machine learning models (transformers) are underway. At the moment, the accuracy of the predictions varies with the properties being considered and the availability of data. mechanical, optical, or chemical response) are predicted in advance of fabrication. Prediction (Forward Problem): Properties of a given material design (e.g.
Because of the general nature of the methods, any SET within BioPACIFIC MIP could be benefited in one of the following ways: With the increasing availability of chemical and molecular data recently, I am hoping to develop data-driven techniques, such as new machine learning methods, to aid the discovery of new materials, potentially cutting down on the development time. Traditionally, designing, synthesizing, and evaluating new substances and procedures are meticulous processes that may span years, even decades. In particular, I am interested in machine learning and computational methods with a great emphasis on their applications to molecular graphs. My research lies between computer science and chem-informatics.
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