I am Raphael Kirchgaessner, a PhD student currently enrolled in the Biomedical Department of OHSU. I am dedicated and self motivated to always improve myself in any possible way.
The only person you are truly competing against is yourself
In my role as a graduate student at OHSU, I focused on the development and implementation of computational models for cancer research. My work primarily involved the construction of novel algorithms to extract deeper biological insights from cancer data. I extensively used advanced neural networks, including Variational Autoencoders (VAE), Autoencoders (AE), and Graph Neural Networks (GNN), for the generation of new data embeddings. These embeddings were crucial in optimizing the processing and interpretation of clinical data, enhancing the accuracy and efficiency of our research. My contributions have significantly impacted the methodological approach to cancer research at OHSU, driving innovation in the application of machine learning techniques in the field of oncology.
As a mentor on Wyzant, Inc., I offer professional services to individuals seeking guidance in Python, Machine Learning, C#, and German. I catered to students with a wide range of proficiency levels, ranging from high school to university-level.
I co-founded Origin Audio LLC with a colleague and currently assume responsibility for the day-to-day management of the business, as well as software development.
Origin Audio LLC specializes in providing machine learning services to musicians and producers.
Founded AnoBrain in May 2022. Anobrains offers consulting services to clients who require assistance in both the realms of Data Science and IT.
As a teaching assistant, my responsibilities included conducting support sessions for first to third-year students. These sessions primarily focused on programming classes, but were not limited to them. Furthermore, I played an active role in the development of new software that was intended to be utilized by students as an example during their classes.
During my six-month internship in the DTSE department at Deutsche Telekom, I was part of the program and project management team. My duties included the reporting of project statuses and progress, as well as organizing various projects throughout the organization.
In my research, I concentrated on leveraging spatial omics data and machine learning to explore how these technologies can improve cancer treatment and extend patient survival.
Thesis Title: Application of a geolocation framework for customer aquisition
Grade: 1.3
In addition to my academic pursuits as a graduate student, I engage in a variety of activities that bring me pleasure, such as playing soccer,hiking, exercising, and spending quality time with loved ones. Moreover, I am an enthusiastic learner, committed to expanding my knowledge in diverse subject areas, including but not limited to the latest advancements in IT and Machine Learning.