Kan Fu

Background

About Kan Fu

I am a graduate Ph.D. in Materials Science and Engineer from UCI. I am a quick learner, and love to dive deep into professional areas. I am passionate about new technologies including machine learning, artificial intelligence, and quantum computing. My skills include Python/Java programming, data structure and algorithm, deep learning, mathematical and statistical modeling, research, and rich lab experiment experience such as Quantum dot electronic devices fabrication & synthesis, Quantum dot material characterization, density foundational theory calculation, etc. Technical Skills: •Programming Languages: Python, Java, SQL,/Html/CSS/JS, Matlab •Tools & Libraries: Git, Linux, AWS, TensorFlow, Scikit Learn, Visio Research & Experiment Experience: •7 years of wet lab experience in the quantum dot, surface chemistry, and thin-film electronic devices fabrication and characterization.(transistor, photodetector, solar cell, etc) •Hands-on experience in Density Functional Theory Calculation on the cluster with Gaussian09 •Knowledge of data acquisition, processing, and statistical analysis •Experimental designation techniques for research hypothesis proof •Strong problem detecting and solving skills Research & Analytical Skills: • Electronic and optoelectronic device fabrication, thin film deposition processes (CVD/ALD, photolithography, wet etching, vacuum deposition), optoelectronic device characterization (I-V), cryogenic measurement, thin-film characterizations: SEM, FTIR, XPS/UPS, UV-Vis-NIR, AFM, microscopy. • Data visualization and statistical analysis; mathematical modeling using Python, MATLAB, Igor Pro, etc. Soft Skills: • Good Interpersonal & communication skills and teamwork • Research presentation & technical writing