Education

Ph.D. Candidate, Rutgers University | BME
Ph.D. Candidate, UMDNJ | CBII
B.A., Cornell University | Physics

Projects

Cyclocomputer
Gene Microrray (Paper | Poster)

Collaborators & Friends

Lin Yang
Manish Parashar
Hui Xiong
Hiro Miyake
Robert Lieberman
Benjamin Hamner

About

Advisor: David J. Foran, PhD
Lab: Center for Biomedical Imaging and Informatics

I am a PhD candidate in the joint biomedical engineering program between UMDNJ & Rutgers. I earned a bachelor's degree in physics from Cornell University in 2006.

I currently work on applications of machine learning and data mining to cancer diagnosis in pathology, with particular focus on multispectral imaging. Other topics of interest include graph theory, data mining, bioinformatics, and dimensionality reduction.

I also partake in good coffee, books, and race for the Rutgers cycling team. I detest poor powerpoint presentations.

Publications

  1. William J. Cukierski and David J. Foran. Metamerism in Multispectral Imaging of Histopathology Specimens. International Symposium on Biomedical Imaging (ISBI) 2010. 145 - 148. (PubMed) (IEEE) (pdf)
  2. Youwen Qian, William Cukierski, Mona Osman and Lauri Goodell. Combined Multiple Clusterings on Flow Cytometry Data to Automatically Identify Chronic Lymphocytic Leukemia. International Conference On Bioinformatics and Biomedical Technology 2010. (ICBBT), 305 - 309. (pdf)
  3. Xin Qi, William J. Cukierski, David J. Foran. A comparative performance study characterizing breast tissue microarrays using standard RGB and multispectral imaging. Proc. SPIE Int. Soc. Opt. Eng. Vol. 7557. (pdf)
  4. William J. Cukierski, Lauri Goodell, David J. Foran, You-Wen Qian. Clustering Analysis for Automatic Gating on Hematologic Flow Cytometry Immunophenotyping. APIII 2009.
  5. William J. Cukierski, Xin Qi and David J. Foran. Moving Beyond Color: The Case for Multispectral Imaging in Bright-Field Pathology. International Symposium on Biomedical Imaging (ISBI). June 28-July 1, 2009. 1111-1114. (PubMed) (IEEE) (pdf)
  6. William J. Cukierski and David J. Foran. Using Betweenness Centrality to Identify Manifold Shortcuts. Proceedings of IEEE International Conference on Data Mining, Analysis of Dynamic Networks. ICDMW 2008, 949-958. (PubMed) (IEEE) (pdf)

Miscellanea

  1. MIT Technology Review: Startup Turns Data Crunching into a High-Stakes Sport by Rachel Metz
  2. Mind Over Market: The Algo Trading Challenge 4th Place Finishers
  3. The Mode is a Deceitful Beast: William Cukierski on finishing fourth in Dunnhumby's Shopper Challenge
  4. How I did it - Will Cukierski on finishing second in the IJCNN Social Network Challenge
    • William J. Cukierski, Benjamin Hamner, and Bo Yang. Graph-based features for supervised link prediction. International Joint Conference on Neural Networks (IJCNN) 2011. 1237 - 1244 . (IEEE)
  5. Glamour Magazine photoshoot - Prince William
  6. SeekingAlpha Op-Ed - Is the Equity Market in its Statistical Infancy?
  7. Musing - Publish Less, Perish More

Contact

wcukierski {at} gmail.com

Rm. 3521
The Cancer Institute of New Jersey
195 Little Albany Street
New Brunswick, NJ 08903-2681


 

Answer: Who is ‘Watson?’

Excerpt from Oncolyte, a publication of The Cancer Institute of New Jersey

When one thinks of cancer research, one may think of the traditional test tubes, beakers and microscopes and how what is being examined translates into new treatments for patients. While traditional science is a large part of that dynamic, computer technology is an equal partner, allowing researchers to explore the nuances of the disease in a faster, comprehensive, more precise fashion. Under the direction of David J. Foran, PhD, members of his laboratory and the Center for Biomedical Imaging at The Cancer Institute of New Jersey (CINJ) are spearheading the development of special computational applications that can examine and characterize patterns within cancer malignancies. By capturing and cataloguing such massive data, scientists can further understand what role protein and molecule development plays in disease onset and progression.

Dr. Foran’s team recently was awarded $3.7 million in grant funding to support this cutting-edge work, the majority of which comes from the National Institutes of Health (NIH). Included in that is $1.7 million to advance the team’s work in expanding a family of data-mining, imaging and computational tools to further characterize hematologic malignancies. It also supports the development of a computer support system with a large processing capacity in order to perform quick, reliable comparative analysis and classification of various tissue patterns.

By expanding the current suite of tools, Foran’s team will be able to systematically investigate computational markers in a wider range of tissues, cancer types and biomarkers for symptoms of disease, which are used for prognosis and applied toward clinical outcomes.

Related to this project, Foran’s team also received funding from the NIH to integrate pathology imaging data standards that have been developed by Foran’s lab and investigators at Emory University with an existing radiology imaging data standard being developed at Stanford and Northwestern Universities. The resulting effort is designed to support large-scale, multi-site collaborative clinical and research studies involving large cancer data sets.

And perhaps now considered an honorary member of Foran’s team is Watson – the IBM computer system which earlier this year beat some of the best and brightest human minds on the game show Jeopardy!. Foran was one of six scientists worldwide to receive a portion ($75,000) of Watson’s winnings to support the team’s work involving IBM’s World Community Grid effort. World Community Grid is a virtual supercomputer that taps into unused – or idle – computer power of nearly two-million personal computers in more than 80 countries. This computational power is then made available to scientists who require high speed computing for their research. Foran is applying this power to IBM’s Help Defeat Cancer project.