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Ph.D. Students

 

Kelsey (KC) Anderson

Email:Kelsey.Anderson@ucdenver.edu

Advisor: Sonia Leach

Research Area: Inference on protein-protein interaction networks. Multi-loci prioritization.
PubMed Publications

 

Mayla Boguslav

Email: Mayla.Boguslav@ucdenver.edu

Advisor: First Year Student

Research Area:
PubMed Publications

   

Tiffany Callahan

Email: Tiffany.Callahan@ucdenver.edu

Advisor: Larry Hunter & Michael Kahn

Research Area: I am interested in investigating novel integration and discovery methods for clinical data and biomedical knowledge linkage and inference. My research pairs Semantic Web technology, network inference, and machine learning techniques in order to better understand the biological mechanisms underlying complex diseases. Currently, I am focusing on developing a computational method that reversibly transforms Web Ontology Language-compliant biomedical knowledge into a representation better suited for network inference.
PubMed Publications

   
 

Gargi Datta

Advisor: Sonia Leach & Michael Strong

Research Area: Computational and genomic approaches to predict drug-resistance in Mycobacterium tuberculosis.
PubMed Publications

   

Callie Federer

Email: Callie.Federer@ucdenver.edu

Advisor: Joel Zylberberg

Research Area:
PubMed Publications

   

Cody Glickman

Email: Cody.Glickman@ucdenver.edu

Advisor: Michael Strong

Research Area: I am exploring the interplay of the virome, microbiome, and human host. Mechanisms such as horizontal gene transfer, evolution, and symbiotic relationships affect the genetic community composition and play a significant role in human health. To understand these mechanisms, I am developing tools to integrate viral and bacterial metagenomics from clinical samples with the explicit goal of expanding the traditional view of metagenomics studies.
PubMed Publications

   

Negacy Hailu

Email: Negacy.Hailu@ucdenver.edu

Advisor: Kevin Cohen

Research Area: Applying NLP techniques in biomedical literature more specifically extracting information from unstructured data. Being in a medical domain makes my work exciting and challenging. My goal is to build text mining tools that help researchers in the medical domain access information naturally.
PubMed Publications

   
 

Thomas Hatzopoulos

Email: Thomas.Hatzopoulos@ucdenver.edu

Advisor: First Year Student

Research Area:
PubMed Publications

   

Harrison Pielke-Lombardo

Email: Harrison.Pielke-Lombardo@ucdenver.edu

Advisor: First Year Student

Research Area:
PubMed Publications

   

Rani Powers

Email:rani.schwindt@ucdenver.edu

Advisor: James Costello

Research Area: The goal of my research is to characterize the molecular and metabolic pathways that become dysregulated in cancer and other diseases. By modeling 1) the transcriptional regulation of enzymes and 2) the flux through metabolic pathways, we aim to accurately mimic the behavior of a cancer cell. With this model, we can simulate in silico how cellular metabolism changes in response to genetic changes or drug treatments. These observations help us understand the perturbed pathways in a disease state and may aid in the identification of novel or combinatorial therapeutic options.
PubMed Publications

   

Michael Shaffer

Email: michael.shaffer@ucdenver.edu

Advisor: Catherine Lozupone

Research Area: I am interested in exploring the effects of various diseases on human microbiomes such as the nose and gut. By looking at varying data types, such as 16S sequencing, metabolomics and data from computational techniques, we can get ideas about what functional changes are happening in human microbial communities in response to disease. I seek to develop computational methods and tools in order to integrate this information for better hypothesis generation and discovery of novel functional changes associated with disease.
PubMed Publications

   
   

Janet Siebert

Email: Janet.Siebert@ucdenver.edu

Advisor: First Year Student

Research Area:
PubMed Publications

   
 

Kyle Smith

Email: kyle.s.smith@ucdenver.edu

Advisor: Debashis Ghosh

Research Area: Signatures of accelerated somatic evolution in cancer.
PubMed Publications

   
 

Laura Stevens

Email: laura.stevens@ucdenver.edu

Advisor: Carsten Goerg

Research Area:
PubMed Publications

   
 

Nicolle Witte

Email: nicolle.witte@ucdenver.edu

Advisor: Jim Costello

Research Area: I am interested in identifying molecular signatures within bladder cancer using integrative data approaches coupled with machine learning methods. Ultimately, these signatures will be used in building a predictive model to infer patient outcome or response, i.e. survival or sensitivity and resistance to treatment.
PubMed Publications

   
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