Welcome to my homepage!!!
Hi ! I am a Masters Student in the Department of Molecular Medicine, College of Medicine at the University of South Florida (USF), Tampa FL. I am doing my M.S. in Bioinformatics and Computational Biology at USF. My research advisor is Prof Alfredo E. Cardenas and my research topic is Use of probabilistic Road Map methods to compute least action trajectories.
I received my Bachelors B.E.(Honors) in Biotechnology from Jaipur Engineering College and Research Centre (JECRC), Rajasthan (INDIA) (Jun 2006).
Worked as an Intern at Univeristy of Texas Health Science Center (UTHSC), Houston TX (May '09-Aug '09).
Details about Statistical Analysis Software (SAS) projects i worked on:
Statistical analysis and reporting of Migraine attack Clinical Trial data.
BIRT project is a big project includes a company which has various branches and they sell different products to many customers and keep data of all the customers employees and the order status, payment status, product details. So what we have to do in that project is to combine few tables and using different base SAS functions to infer the results.
Details about Academic Research work:
Classical trajectories are stationary solutions of the action. The stochastic difference equation in length (SDEL) algorithm is an approximate method to obtain these trajectories based on the optimization of the first variation of the action. Using a graph representation of coordinate space, we have developed a new kind of shortest path algorithm to obtain optimal SDEL trajectories for which the path length computation not only depends on the current node but also on the node already traversed. The new algorithm is based on a redefinition of the graph in which the edges represent connections between 3 configurations of the system. We use Dijkstra's algorithm to compute the shortest trajectory between nodes in the redefined graph. The first numerical evaluations of the algorithm have been done using the 2D Muller and three-hole potentials. Shortest trajectories have been computed varying the total energy, number of conformations, and graph connectivity.
Details about Internship Research work:
Ductual carcinoma in situ (DCIS) of the breast is the most common precursor to invasive carcinoma (IC), the second largest cause of death in women in United States. There has been great progress in modelling DCIS at both cellular and the population scale, but these past efforts have been difficult to claibrate with the pateient-specific molecular and cellular measurements.A biophysically-justified, agent based cellular model of DCIS is develpoed. The main hurdle in front of researchers in our group is to segment the X-Ray photographic images of breast cancer cell. As the cells have no definite geometry (i.e. size, shape) and the dye used to distinguish Positive and Negative cells is not effcient enough to provide clear visibility to count and compute the Indexes required for the calibration model of DCIS. We are using various white balancing algorithm coupled with watersheding to completely segment the Images to be used for further processing.
Resume (in .pdf format)
SAS Certification (in.jpg format)
Contact Information :
( sbaheti AT mail DOT usf DOT edu, saurabhkbaheti AT gmail DOT com)
Univerity of South Florida
Department of Chemistry
4202 E. Fowler Avenue
Tampa, FL 33620