Advisors: Prof. Venkatesh Murthy• Studied and found correlations between neural activities and animal sensory inputs withlogistic regression, multiple linear regression and convolutional neural network (CNN).• Implemented a centralized data management structure in HDF5 and XML for handlingexperimental dataset with various data types such as imaging and sensor data.• Contributed video-processing codes to DeepLabCut, a highly-popular deep learningpackage for automated markerless pose and position tracking of animals.• Created a Qt-based graphic user interface (GUI) for easy inspection and manipulationof animal behavior data obtained from DeepLabCut.• Designed and built optical systems, data acquisition systems and accompanying softwarepackages for fully-automated neural-recording,stimulation and behavioral training.• Collaborated with researchers across disciplines from behavioral neuroscience, engineeringphysics to mathematics.

• Built and developed a complete set of instruments and software package to study and analyze the local linear absorption behavior of organic photovoltaic (OPV) films. • Proposed and implemented a model to solve the boundary composition of OPV thin films.• Built and programmed power-monitoring and signal analysis units for femtosecond laser.• Developed a new method to drop cast thin OPV films with controllable thickness.

• Led two 1.5 hours review sections every week and held extra exam review sessions.• Chemistry 4A-4B is a one year series of general Chemistry and quantitative analysis course.

Teaching college level general chemistry.

• Screened heat-resistant Rosa chinensis by studying the transcription of mRNAs.• Cultivated groups of Rosa chinensis for controlled experiments.• Carried out RNA total isolation, conducted RT-PCR and electrophoresis.

• Led a project in studying trace heavy-metal contaminations in a local river using ICP-MS. • Gave talk in Busan, Korea and collaborated with students from Korean Science Academy in studying and comparing the water quality in Busan and Shanghai.