Ulrike Boehm

Ulrike Boehm has extensive experience in the field of optical science and research. Ulrike is currently working at ZEISS Group as an Optical Scientist & Project Lead. Prior to this, Ulrike worked at the Howard Hughes Medical Institute as a Research Specialist, where they built and modified advanced light microscopes, supported life scientists in their imaging experiments, and developed new image and data analysis strategies. Before that, they served as a Postdoctoral Associate at the National Cancer Institute, focusing on understanding gene expression and developing advanced fluorescence labeling strategies. Ulrike also worked as a Research Assistant at the Max Planck Institute for Biophysical Chemistry, where they combined advanced fluorescence microscopy techniques and contributed to the three-dimensional visualization of living biological structures. Additionally, they gained experience as a Student Research Assistant at Technische Universität München and the Leibniz-Institut für Ostseeforschung Warnemünde.

Ulrike Boehm's education history includes obtaining a CORe Credential of Readiness from Harvard Business School Online in 2020, and a MicroMaster's Degree in Data Science and Statistics from MITx Courses in 2021. Prior to that, they earned a Doctor of Philosophy (Ph.D.) in Physics, Applied Optics from Heidelberg University in 2015 and a Diplom in Physics from the Technical University of Munich in 2009. Ulrike Boehm also holds multiple certifications, including ones in effective listening, leadership communications, prompt engineering for generative AI, mastering communications as a leader, generative AI, design thinking and innovation, strategy execution, and disruptive strategy, obtained from various institutions. Additionally, they have obtained certificates in statistics, leadership strengths, leadership principles, culture and networks, machine learning with Python, negotiation and influence, organizational strategy and capabilities, and probability from reputable organizations such as MITx, MIT xPRO, and edX.