Hongyuan Yuan's Email Addresses & Phone Numbers

I see myself as a practical and curious person, a constant learner, and a good teammate. I am passionate about my Ph.D. research on new renewable energy technology, which is challenging and meaningful. Data science is interesting as I see it as a new perspective of trying to understand not just nature, but we human. Last but...

I see myself as a practical and curious person, a constant learner, and a good teammate. I am passionate about my Ph.D. research on new renewable energy technology, which is challenging and meaningful. Data science is interesting as I see it as a new perspective of trying to understand not just nature, but we human. Last but not least, I am willing and capable of applying what I have learnt into practice, with outstanding problem defining and solving skills, and effective communication skillsGraduate Research Assistant on Thermionic Emission Converter @ Working with four Stanford professors, Prof. Roger Howe, Prof. Piero Pianetta, Prof. Nick Melosh, and Prof. Zhixun,Shen, with a team of colleague students, on (Photon Enhanced) Thermionic Emission Converter. My main work: Transferring large size chemical vapor deposited (CVD) graphene from copper onto arbitrary substrates with very good quality. grow ~10nm aluminum oxide and hafnium oxide by atomic layer deposition (ALD) with high breakdown voltage(>0.6V/nm) & low leakage current. fabricating and testing graphene anode, using Kelvin Probe and X-Ray photon emission. modelling and simulating a general phenomenological model for work function calculation. Maintaining an ultra-high vacuum(UHV) chamber. Designing an extension UHV chamber and made its bill of materials. Designing testing structure for thermionic emission converter based on nano/micro fabrication technologies. From September 2011 to Present (4 years 2 months) Data Scientist Intern @ Microsoft core data science group within Device and Operation Group From June 2015 to Present (5 months) Project Leader @ Stock Price Prediction, Machine Learning course project (Stanford CS 229) In a team of three, using python, we successfully found close correlation between 100 stocks’ prices change on an hourly basis and keywords frequency change from relevant tweets, through SVM and Naïve Bayes algorithms. Result to be submitted to ICML conference From October 2014 to February 2015 (5 months) Participant in Intro to Data Science Series @ Taught by Intuit’s Data Engineering & Analytics (IDEA) team, Intro to Data Science Series offer comprehensive introductions to each topic within data science through eight sessions, including intro to the tools and methodology, data wrangling, data visualization and machine learning, with hands-on project practices From October 2014 to November 2014 (2 months) Engineering Intern @ In the MEMS team. Involved in the development of the next generation gyroscope and accelerometer. • Developed an entirely new process of growing Al2O3 by ALD serving as HF stop layer. • Systematically studied the quality of epitaxial grown polysilicon film, focused on its Young’s modulus variation. Methods includes XRD, AFM and (cross)SEM From June 2014 to September 2014 (4 months) Co-Founder @ Worked with three other Stanford Ph.D. students to build a business model to help Stanford Federal Credit Union better marketing Stanford students, while providing Stanford students an online forum for discussing financial related questions. I was responsible for the Chinese version of this website From 2013 to 2013 (less than a year) http://www.faqbin.com/Ignite Program @ Working as an international team, we aimed to provide retailers more information about their customers' in-store behavior through surveillance cameras, including traffic patterning and counting, so that retailers might be able to optimize arrangement of goods in aisles and prices for high-impression but undersold items. We call it "SEESAW". During this program, we had condensed version of MBA curriculum during normal work hours, and applied what we had learnt from class to our "SEESAW" after class. after four weeks of intense learning and practicing, we successfully pitched to five VCs from the silicon valley and got positive feedback. From 2012 to 2012 (less than a year) Doctor of Philosophy (Ph.D.), Physics @ Stanford University From 2011 to 2015 Minor, Electrical Engineering @ Stanford University From 2011 to 2015 Stanford Ignite Program @ Stanford University Graduate School of Business From 2012 to 2012 Summer Exchange Program, Condensed Matter and Materials Physics @ The University of Western Australia From 2010 to 2010 Bachelor of Science (B.S.), Condensed Matter and Materials Physics @ University of Science and Technology of China From 2007 to 2011 Shishi high school From 2004 to 2007 Hongyuan Yuan is skilled in: Nanotechnology, Nanofabrication, Semiconductors, Graphene, Data Analysis, Mathematica, Matlab, Surface Analysis, Materials Science, Mathematical Modeling, Teaching, C language, Entrepreneurship, Python, LaTeX, Physics, C, Machine Learning, Data Mining, Statistics, Deep Learning, R