Kushal Suryamohan
147 West Winspear Avenue, Buffalo, NY – 14214,
716-574-7744
kushalsu@buffalo.edu
EDUCATION:
University at Buffalo, State University of New York
 Ph.D., Biochemistry, January 2011 –Present (GPA – 3.55/4.0)
 Master of Science, Computer Science, August 2009 – December 2010.
Overall GPA: 3.33/4.0
RESEARCH EXPERIENCE:
1. Leveraging a knowledge base of Drosophila cis-regulatory modules for regulatory element discovery in diverged
insect species (Jan 2011 – Feb 2013) – A collaborative effort with Dr. Saurabh Sinha (University of Illinois, at Urbana
Champagne) that uses Drosophila CRMs to predict in-silico, CRMs in highly diverged arthropods (malaria mosquito,
honey bee, beetle and wasp) and validate these predictions in vivo using transgenic Drosophila.
2. Longitudinal study on Mixed Lineage Leukemia, headed by Dr. Eunice Wang of Roswell Park Cancer Institute (June
2010 to December 2010) - I analyzed gene expression profiles of genes using micro array data by applying
classification algorithms to predict classes of leukemia based on gene expression profiles.
3. UBTorrent – A BitTorrent client developed using C and socket programming.
4. Pen-Gesture Recognition with Hidden Markov Models.
5. Location Recognition on Camera Embedded Mobile Phones based on MPEG-7 Color Layout Descriptor (using JAVA)
- Provide mobile phone users with information about a particular location in a city from images of the location
captured on a phone’s camera. Presented at the proceedings of the World Congress for Science and Technology
(WCSET) in Bangkok (December 2009) (http://www.waset.org/programs/bangkok09.pdf).
STATEMENT OF RESEARCH INTERESTS:
Having worked in both computational and wet-lab environments, I have been fortunate to acquire skills that enable me
to work both at the bench and as a Bioinformatics programmer/analyst. My research projects cover a broad range of
topics in trancriptional regulation. Of particular interest to me is transcriptional regulation in eukaryotes by
enhancers/cis regulatory modules and the roles of these CRMs in gene regulatory networks.
ABSTRACTS:
1. Leveraging a knowledge base of Drosophila cis-regulatory modules for regulatory element discovery in
diverged insect species – 54th Annual Drosophila Research Conference, Washington D.C., April, 2013
PUBLICATIONS:
1. Cross-species supervised prediction of cis-regulatory modules enables regulatory annotation of highly diverged, nonmodel organisms – under review
PROFESSIONAL EXPERIENCE
1. Programmer in the “Summer of code: The Visual Noun” group, at the Vision lab of Dr. Jason Corso at SUNY Buffalo
(May 2010 - August 2010) - to implement a state of the art suite of Object Detection routines from the computer vision
literature (http://www.cse.buffalo.edu/~jcorso/r/career/soc2010.html)
2. Attended a two week intensive workshop on gene regulatory networks at Marine Biological Laboratory
(http://hermes.mbl.edu/education/courses/special_topics/gern.html)
TECHNICAL SKILLS:
Molecular cloning, PCR, transgenics, In-situ hybridization, Immunofluorescence, immunohistochemistry, Electrophoresis,
molecular cloning, tissue dissection, confocal and light microscopy, BioTapestry, Enzyme Kinetics modelling, Data mining
Programming skills - R, Perl, C, JAVA, MATLAB, LaTeX.
COURSEWORK:
Introduction to Pattern Recognition, Data mining and Bioinformatics, Algorithm Design and Analysis, Supervised
research in Microarray data analysis, Principles of Biochemistry, Cell Biology, Gene expression, Bioinformatics and
genome analysis, Statistics for Bioinformatics, Developmental Biology, Statistics in Medicine (Stanford University – HRP
258)