Yolanda S. is a skilled Research Engineer in Systems Integration & Spatial Biology at Singular Genomics since June 2022, focusing on analysis pipeline development, workflow integration, and data management. Prior experience includes serving as a Computational Biology Undergraduate Researcher at UC Berkeley's Holmes Lab, where Yolanda utilized hidden Markov models and developed a mutation simulator. Yolanda has also contributed as a Data Analyst for the EDGE in Tech™ Initiative, impacting policy discussions based on research findings. Additional roles at UC Berkeley's EECS involved course development, teaching assistance, and management of substantial course logistics, fostering student engagement in computer science. Yolanda's internship at Novartis Gene Therapies enhanced analytical skills within GMP standards, further complemented by diverse research experiences at various academic laboratories. Yolanda holds dual BA degrees in Molecular Cell Biology and Data Science from UC Berkeley.
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