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Alejandro Schuler
Alejandro Schuler
Email: Alejandro.schuler@berkeley.edu
Email: Alejandro.schuler@berkeley.edu
Alejandro Schuler is an Assistant Professor in Residence in the Division of Biostatistics at UC Berkeley. His expertise is in nonparametric statistics, causal inference, and machine learning. Dr. Schuler is also passionate about pedagogy and making good statistics accessible to everyone regardless of background or experience. Dr. Schuler is known for developing NGBoost, the selectively adaptive lasso, and prognostic adjustment, among other methods. Besides methods development, he collaborates with domain experts to translate their questions to mathematical formalisms and bring the right methods to bear on them.
He completed his Ph.D. at Stanford in 2018 and worked as a postdoc with Mark van der Laan before starting on the faculty at Berkeley. His experiences working as a data scientist at Kaiser Permanente's Division of Research and as an early employee of a health tech startup helped shape his research agenda into something with relevance beyond academia.
Tyler Mansfield
Tyler Mansfield
Hey everyone! My name is Tyler and this is my second year at Berkeley as a MA/PhD student. I was born and raised in Utah, though I lived two years in Southern California near San Bernardino. I graduated from BYU in Applied and Computational Mathematics and am passionate about data-driven healthcare and personalized medicine. Outside of school, I love running, volleyball, swimming, board/card games, and socializing. Look forward to meeting you!
Sku Qiu
Sku Qiu
My name is Sky. I was born and raised in Suzhou, China. I graduated from University of Washington, Seattle in 2021 with a bachelor’s degree in Applied and Computational Mathematical Sciences - Data Sciences and Statistics. Now, I am a Biostatistics MA/PhD student at UC Berkeley. I am broadly interested in the statistical methodology used in Epidemiology and Causal Inference.
Nolan Gunter
Nolan Gunter
I am a recent graduate of Oregon State University with a BS/BA Mathematics and Economics. I will be attending UC Berkeley in Fall 2021 to begin the MA/PhD program in Biostatistics. I have a strong background in community engagement and research. I am particularly interested in HIV/AIDS research, causal inference and statistical consulting.
Noel Pimentel
Noel Pimentel
TBA
Adi Mukund
Adi Mukund
I am an MD/PhD student working in the Bintu lab, building theoretical and experimental tools to harness chromatin-mediated gene regulation for better mammalian cell engineering. I am supported by the Tusher Family Stanford Interdisciplinary Graduate Fellowship, Bio-X. My interests include gene regulation, math, mammalian synthetic biology, and transgender healthcare and related advocacy. Before coming to Stanford, I studied Computer Science with a minor in Mathematics at Duke University. At Duke, I worked on building efficient and provably correct algorithms for computational structure-based protein design in the lab of Bruce Donald.
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