• White Board
  • Lab Slide
  • Wet Lab
  • Science Buildings

Welcome

Technological innovations have revolutionized the scale and detail with which biological systems can be explored. With that revolution comes a new demand for scientists who transcend biological and computational sciences to seamlessly integrate complex datasets into quantitative and predictive models of biological systems.

To address this need, the Quantitative Biology Initiative (QBI) at UW-Madison is training the next generation of scientists who will work at the interface of computational, statistical, and quantitative biology. The QBI represents a university-wide initiative that brings together students and faculty from diverse departments, and utilizes the exceptional level of inter-departmental collaboration at UW-Madison to provide students outstanding training opportunities in interdisciplinary, collaborative research.

Join the revolution and apply today!

qbi_wi

What's New(s) in the QBI?

August 2015

Ming Yuan, a Morgridge Institute investigator and professor of statistics has been named Fellow of the Institute of Mathematical Statistics (IMS).

April 2015

Audrey Gasch, Genetics, received the Pound Research Award

September 2014

The IMA has awarded David F. Anderson the inaugural IMA Prize in Mathematics and its Applications. The prize will be given at the opening of the fourth annual Abel Conference on October 31, 2014.

NSF awards Chris Hittinger a five-year $2 million grant to study the genomes, metabolism, and ecology of diverse yeast species.

More Good News!

Go to the archive.

Opportunities

  • The Gasch Lab seeks an ambitious postdoctoral fellow interested in working at the interface of systems and molecular biology to understand growth control and stress-activated signaling in yeast and human cells. More...

Graduate Students Feature

Claudia Solis-LemusClaudia Solís-Lemus is a PhD student in Statistics working with professor Cécile Ané in the inference of phylogenetic networks to represent the tree of life expanded by extra hybridization edges. Understanding the evolutionary history of species is essential to conservation efforts and to discover the tree of life.

She obtained her Master's degree in Mathematics at UW-Madison with emphasis on probability theory.
Originally from Mexico City, she earned her undergraduate degrees in Actuarial Sciences and Applied Mathematics at ITAM .

Why did you choose UW-Madison?  UW-Madison has a worldwide reputation. Some of my professors back home did their PhD education here, and they strongly encouraged me to apply. I am very happy they did! I found not only endless opportunities to learn on campus, but also a great city to live in.

What is your favorite place to study?  The terrace, except in winter. In winter I stay inside Memorial Union to still be able to watch the lake.

Any advice for future grad students?  Buy warm clothes, but don't be afraid of the cold! Madison is such a warm city that you will feel fine. Make the most out of your classes, but pay attention to the many extracurricular activities like workshops, seminars and talks that happen around campus. You can learn a lot inside and outside the classroom.

Jeremy LangeJeremy Lange is a graduate student in John Pool's Population Genetics Lab. He is interested in applications of math and statistics to biology, and population genetics in particular. He has evaluated a new haplotype statistic for detecting local adaptation, and he's currently examining the effects of natural selection on demographic inference.

He took a moment to answer a few questions for QBI:

Why did you choose UW-Madison?  I got my undergraduate degree here at UW-Madison and decided to stay for graduate school. The collaborative environment, sequencing resources, and Center for High Throughput Computing were major draws to stay beyond my undergrad. Plus, the city is beautiful and southern Wisconsin is home to some wonderful state parks that I enjoy hiking in.

What is your favorite place to study?  I enjoy studying at the Library and Information Studies library (yes, it’s a library for studying libraries). It’s a little known library on the fourth floor of Helen C. White. It is cozy, relaxing, and has beautiful views overlooking Lake Mendota.

Advice for future graduate students?  For those interested in the quantitative side of biology, learn how to program! It may seem overwhelming at first, but it’s worth it. There’s plenty of Youtube tutorials and teaching books to help beginners, but, in my opinion, the best way to learn is to just jump right in.