About

Hsuan-Hao Fan is a PhD trained physicist with over 8 years of experience in quantitative analysis, building advanced mathematical and computational models. He possesses superior critical thinking and creative problem-solving skills, which he has honed through his extensive experience in the field. Hsuan-Hao has a desire to build and develop knowledge for his firm and solve client problems. He is a team player and can work independently. Hsuan-Hao has strong communication skills that he developed from teaching physics for over 5 years. He can explain abstract concepts to non-technical audiences and describe analytic processes in a way that is easy to understand. He has excellent leadership skills and has mentored and motivated over 1000 undergrads to learn physics in 11 semesters. Hsuan-Hao is also proficient in time management, resulting in well-organized recitations. Hsuan-Hao has experience in distributed computing in clusters using shell scripting and cloud computing on IBM Watson Studio. He is proficient in programming languages such as Python, R, Matlab, and SQL, and is familiar with C++. Hsuan-Hao has worked as a Postdoctoral Associate in Pharmaceutical Sciences at the University at Buffalo, where he has applied advanced mathematical and computational modeling to improve therapeutic approaches or drug development. He has implemented various mathematical modeling such as QSP, machine learning, PK/PD modeling, or Boolean network model to gain insights from data. Hsuan-Hao has also worked as a Visiting Researcher at Johannes Kepler Universitt Linz, where he conducted theoretical research in many-body physics. He has a Master of Science in Condensed Matter and Materials Physics from National Taiwan Normal University and a Bachelor of Science in Physics from the same university. Hsuan-Hao is proficient in pharmaceutical tools like mrgsolve in R, Monolix, and Matlab. He has built QSP modeling to optimize post-transplantation cyclophosphamide (PTCy) dosing to treat hematopoietic cell transplant (HCT) patients. He has also improved therapeutic approaches specifically the treatment of anemia and thrombocytopenia in neonates. Hsuan-Hao has preprocessed heart rate variability data and then implemented wavelet analysis to evaluate cumulative high-frequency power for further PD analysis of atropine induced change in human heart rate variability. In summary, Hsuan-Hao is a highly skilled physicist with a strong background in quantitative analysis and mathematical modeling. He is