Here at ISI, I work under supervision of Professor
Jose-Luis Ambite. I have developed an ultra-rapid
method, called I-Lash, to detect Identical-By-Descent segments of DNA in large scale data. Our work was presented at
the annual ASHG meeting 2017. I am also working on the usage of Deep Learning methods to discover
new paths in genetic data.
At SoftArch, I worked on an integrated middleware for Internet of Thing. I designed and implemented parts of a
library to handle an event-based network of softwares on a range of heterogeneous devices. I also worked
on event-based anomalies and security problems of Android operating system.
I am really eager to learn new computer technologies, libraries and methods related or unrelated to my work. I am also
comfortable working with any operating system.
non-CS Skills
Experience in leading teams.
Reasonably good gamer!
Ping Pong and Soccer :-)
Ruhollah Shemirani
Projects
I-LASH
I-Lash is my latest project. It's an ultra-rapid tool for finding Identity By Descent tracts shared between people
in a large scale DNA pool. It's results were presented at the 2017 ASHG meeting.
I-Lash will be available for download soon. And our results will be published along with it as well.
Extreme Pseudo-Sampling
Extreme Pseudo-Sampling is a new pipeline that uses Variational Autoencoders to find better ranking of genes
in cancer survival analysis. This was my Deep Learning class project that got exciting!!! And will be submitted to be reviewed soon.
Personal Tracking System
In a team of 3, we designed and implemented a personal tracking system for cars and other valuable objects.
This system is still maintained and has been under use for the past 4 years.
