Welcome to my Personal Webpage!
I am a researcher, data scientist, and entrepreneur with expertise in applying machine learning to biological data, particularly in genomics, biophysics, and life sciences. I have a strong academic background, having completed an MPhil from the University of Cambridge and a BA from the University of Oxford. I am currently finishing my PhD at UC Berkeley, where I work on understanding enhancer functions in fruit flies and exploring how generative AI models can map enhancer sequences to spatial gene expression patterns.
Recent Publications
Here are the most recent publications I have authored:
-
Targeted mutagenesis of specific genomic DNA sequences in animals for the in vivo generation of variant libraries
Julia Falo-Sanjuan, Yuliana Diaz-Tirado, Meghan A Turner, Julian Davis, Claudia Medrano, Jenna Haines, Joey McKenna, Arman Karshenas, Michael B Eisen, and Hernan G Garcia
Published in bioRxiv
Link to publication -
A deep learning phenotyping method for genetic analysis of 3D micro-CT data
A Karshenas, T Linderoth, R Zatha, B Rusuwa, and R Durbin
Published in biorXiv
Link to publication -
Lessons for preparedness and reasons for concern from the early COVID-19 epidemic in Iran
Mahan Ghafari, Bardia Hejazi, Arman Karshenas, Stefan Dascalu, Alireza Kadvidar, Mohammad A Khosravi, Maryam Abbasalipour, Majid Heydari, Sirous Zeinali, Luca Ferretti, Alice Ledda, and Aris Katzoura
Published in Epidemics
Link to publication
Recent Courses
Below are the courses I have recently taught:
- Quantitative Biology Bootcamp 2023
University of California, Berkeley
Fall 2023 - Quantitative Biology Bootcamp 2022
University of California, Berkeley
Fall 2022
Recent Posts
Here are my most recent blog posts:
- My First Post
Posted on December 03, 2024
This is a brief summary of my first blog post. I’ll discuss some of my recent research and discoveries in genomics and machine learning.
Contact
Feel free to reach out for collaborations or inquiries:
- Email: karshenas(at)berkeley(dot)edu
- LinkedIn Profile
- Google Scholar
Thank you for visiting my page!