Tom Bersano

Tom Bersano
University of Michigan | U-M · Department of Electrical Engineering and Computer Science (EECS)

PhD in Computer Engineering (AI)

About

24
Publications
7,701
Reads
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4,040
Citations
Introduction
I now work at Google as a Software Engineer. My previous research interests spanned several related areas of Computer Science, Molecular Biology and Biomedical Engineering, including: Cancer Research, Synthetic Biology & Bioinformatics, Artificial Intelligence, Laser Molecular Detection, Automated Science, Neural Interfaces, Genetic Engineering & Aging, and Lab-on-Chip Technology
Additional affiliations
January 2010 - March 2012
University of Michigan
Position
  • Circulating Tumor Cell Detection
Description
  • Designed and patented a wearable microfluidic device that can isolate circulating tumor cells from blood to determine effectiveness of therapies and each metastatic cancer's genetic vulnerabilities for individual patients.
January 2009 - January 2010
University of Michigan
Position
  • Bio-MEMS Research
Description
  • Developed MEMS and microfluidic devices to study and manipulate single cells.
January 2006 - January 2009
University of Michigan
Position
  • Biomedical Engineering Research
Description
  • Developed an interpreted language and hardware to perform automated science, growing and handling cells and reagents at the microscopic scale and collecting data and videos of cellular responses automatically and remotely for months.
Education
May 1999 - December 2001
University of Michigan
Field of study
  • Biomedical Engineering
May 1999 - December 2001
University of Michigan
Field of study
  • Biological Chemistry
May 1999 - May 2001
University of Michigan
Field of study
  • Kinesiology

Publications

Publications (24)
Article
Full-text available
This mini-review provides a brief overview of recent devices that use networks of elastomeric valves to minimize or eliminate the need for interconnections between microfluidic chips and external instruction lines that send flow control signals. Conventional microfluidic control mechanisms convey instruction signals in a parallel manner such that t...
Article
This paper describes a cell-exclusion patterning method facilitated by a polymeric aqueous two-phase system. The immersion aqueous phase (polyethylene glycol) containing cells rehydrates a dried disk of the denser phase (dextran) on the substrate to form a dextran droplet. With the right properties of the phase-forming polymers, the rehydrating dro...
Article
Full-text available
Generation of stable soluble-factor gradients in microfluidic devices enables studies of various cellular events such as chemotaxis and differentiation. However, many gradient devices directly expose cells to constant fluid flow and that can induce undesired responses from cells due to shear stress and/or wash out of cell-secreted molecules. Althou...
Article
Full-text available
Chemokine CXCL12 promotes CXCR4-dependent chemotaxis of cancer cells to characteristic organs and tissues, leading to metastatic disease. This study was designed to investigate how cells expressing CXCR7 regulate chemotaxis of a separate population of CXCR4 cells under physiologic conditions in which cells are exposed to gradients of CXCL12. We rec...
Article
Full-text available
A critical need for enhancing usability and capabilities of microfluidic technologies is the development of standardized, scalable, and versatile control systems1,2. Electronically controlled valves and pumps typically used for dynamic flow regulation, although useful, can limit convenience, scalability, and robustness3-5. This shortcoming has moti...
Article
Full-text available
The zebrafish is a valuable model for teaching developmental, molecular, and cell biology; aquatic sciences; comparative anatomy; physiology; and genetics. Here we demonstrate that zebrafish provide an excellent model system to teach engineering principles. A seven-member undergraduate team in a biomedical engineering class designed, built, and tes...
Article
Full-text available
Cell culture systems are often static and are therefore nonphysiological. In vivo, many cells are exposed to dynamic surroundings that stimulate cellular responses in a process known as mechanotransduction. To recreate this environment, stretchable cell culture substrate systems have been developed, however, these systems are limited by being macro...
Article
Full-text available
Microfluidic bioreactors fabricated from highly gas-permeable poly(dimethylsiloxane) (PDMS) materials have been observed, somewhat unexpectedly, to give rise to heterogeneous long term responses along the length of a perfused mammalian cell culture channel, reminiscent of physiologic tissue zonation that arises at least in part due to oxygen gradie...
Chapter
Recent advances in micro- and nanotechnologies coupled with the need in biology and medicine to perform cellular scale studies and productions have led to the emergence of a variety of microscale biological reaction systems. These microbioreactors are promising as low cost modules for optimizing bioproduction processes, highly parallel analytical p...
Chapter
Full-text available
GPmuse is software which explores one connection between computation and creativity using a symbiosis-inspired genetic programming paradigm in which distinct agents collaborate to produce 16th-century counterpoint.
Article
Full-text available
This study describes comprehensive polling of transcription start and termination sites and analysis of previously unidentified full-length complementary DNAs derived from the mouse genome. We identify the 5' and 3' boundaries of 181,047 transcripts with extensive variation in transcripts arising from alternative promoter usage, splicing, and polya...
Article
The study of complex biological systems requires methods to perturb the system in complex yet controlled ways to elucidate mechanisms and dynamic interactions, and to recreate in vivo conditions in flexible in vitro set-ups. This paper reviews recent advances in the use of micro- and nanotechnologies in the study of complex biological systems and t...
Article
Full-text available
Our approach for the Robocup97 competition is to emphasize teamwork among agents by augmenting reactions (based on awareness of the current situation) with predictions (based on predefined multiagent maneuvers). These predictions are accomplished by allowing agents to cooperatively accomplish predefined plans, which are elaborated reactively and hi...
Article
Full-text available
A significant problem in Genetic Programming consists in ensuring the robustness or generality of the evolved code (its ability to work correctly on never before seen data). We examine approaches attempted so far, and propose a different solution, based on multiple training sets (to discriminate between possible interpretations), augmentation and r...
Article
Full-text available
A common problem in evolutionary computation, and in particular in GA and GP, is the loss of diversity due both to `lock-in' and early convergence of a population to `deceptive' high scoring partial solutions. As the run proceeds, such individuals constitute a larger and larger segment of the population, eliminate diversity and stop the progress of...
Conference Paper
Discusses several key issues involved in designing and using a Java collaborative interface for genetic programming applications over the World Wide Web. We present our implementation that has been used in a new system that assists scientists in classifying and extracting novel features in remotely sensed satellite imagery. This paper also identifi...
Article
Full-text available
This paper discusses several key issues involved in designing and using a Java collaborative interface for genetic programming applications over the World Wide Web. We present our implementation that has been used in a new system that assists scientists in classifying and extracting novel features in remotely sensed satellite imagery. This paper al...
Article
This chapter discusses the application of genetic programming (GP) to image analysis problems in geoscience and remote sensing and describes how a GP can be adapted for processing large data sets (in our case, 1024 × 1024 pixel images plus texture channels). The featured prob lem is one that has not been adequately solved for this type of imagery....
Conference Paper
Full-text available
This paper describes a validation of accuracy associated with a recent algorithm that has been designed to extract ridge and rubble features from multiyear ice. Results show that the algorithm performs well with low-resolution ERS SAR data products
Conference Paper
Full-text available
Discusses a relatively new procedure in the computer-assisted design of pattern-extraction algorithms. The procedure involves the adaptation of genetic programming, a recent technique that has been used for automatic programming, for image processing and analysis. This paper summarizes several of the measures the authors have taken to develop two p...
Article
Full-text available
This paper discusses several issues in applying genetic programming to image classification problems in geoscience and remote sensing. In particular, this paper examines the role in using dynamic and static fitness evaluation functions. This paper also examines a few of the aspects in human-computer interactions that facilitate computer-assisted le...
Article
Full-text available
The wall following robot is examined as a potential benchmark problem for applications of genetic programming (GP) to emergent robotic behavior. This paper describes experiments that were performed to characterize the performance, solution space, search space, and robustness using GP with and without automatically defined functions (ADFs). GP with...

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