Please also see my Google scholar profile; it is sometimes more up to date.
Preprints
Published
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Thesis
Laura Balzano, Handling Missing Data in High-Dimensional Subspace Modeling, May 2012.
I am thrilled that yesterday the Regents of the University of Michigan promoted me to Associate Professor with tenure, effective September 1. It feels like yesterday that I arrived in my faculty office for the first time, and yet it also feels long ago. I appreciate so much the support of my colleagues and mentors. I also would not be here without my outstanding, curious, enthusiastic, and hard-working graduate students — they are incredible. Here is the letter that my dean sent to the provost to recommend me for promotion. I am looking forward to the next phase!
SPADA lab is so proud of Dr. Dejiao Zhang and Dr. David Hong. They both successfully defended their PhD dissertations this spring. Dejiao is going to Amazon Web Services next, and David is going to a postdoc at the University of Pennsylvania. We expect you both to go off and do great things! Congratulations!
I am honored to have received the NSF CAREER award for a proposal on optimization methods and theory for the joint formulation of dimension reduction and clustering. You can read about the award here in the UM press release and also here on the NSF website. Dimension reduction and clustering are arguably the two most critical problems in unsupervised machine learning; they are used universally for data exploration and understanding. Often dimension reduction is used before clustering (or vice versa) to lend tractability to the modeling algorithm. It’s more typical in real data to see clusters each with their own low-dimensional structure, and so a joint formulation is of great interest. I look forward to working toward this end in the next stage of my career.
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