Rush Tabesh

Hey there, I’m Rush (Soroush) Tabesh, a Ph.D. student in Computer Science at ISTA. I’m lucky to work with Dan Alistarh in the DASLab, where we explore how to make deep learning leaner, faster, and easier to train and deploy.

Before ISTA, I earned my B.Sc. in Computer Science at Sharif University of Technology, where I was lucky to work with Mohammad Hossein Yassaee on knowledge distillation.

Research Interests

My work centers on practical ways to shrink the time, energy, and hardware footprints of modern neural networks:

• Efficient Deep Learning
• Quantization-Aware Training (QAT)
• Fully Quantized Training (FQT)
• Neural Network Compression
• Parameter-Efficient Fine-Tuning (PEFT)

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A Little Extra

When I’m not wrangling deep nets, I’m usually doing something completely unrelated, like slowly learning guitar (emphasis on slowly), going for short runs that feel longer than they should, or keep up with the thrilling process of learning German, which mostly means nodding politely and hoping context clues are on my side.