We are pleased to welcome seven new faculty affiliates to the Institute. We look forward to enjoying their and their students’ contributions to our intellectual community.
![](https://www.iam.ubc.ca/wp-content/uploads/2019/11/blake-1.jpg)
Ian Blake, Electrical and Computer Engineering
Cryptography, computational number theory, cyptographic protocols, algebraic coding theory, low density parity check codes
![](https://www.iam.ubc.ca/wp-content/uploads/2019/11/duc.png)
Khanh Dao Duc, Mathematics
Mathematical biology, gene expression
![](https://www.iam.ubc.ca/wp-content/uploads/2019/11/S01_0914.jpg)
Lutz Lampe, Electrical and Computer Engineering
Communication and information theory, smart grid, grid diagnostics, Ultra-wideband (UWB), wireless sensor networks, localization and tracking, RFID, cognitive radio, power line communications, compressed sensing, machine learning
![](https://www.iam.ubc.ca/wp-content/uploads/2019/11/ElinaWebsitePicture2Small.png)
Elina Robeva, Mathematics
Mathematical statistics, machine learning, combinatorics, multilinear algebra, and applied algebraic geometry
![](https://www.iam.ubc.ca/wp-content/uploads/2019/11/headshot-1024x685.jpg)
Geoff Schiebinger, Mathematics
Stochastic processes in developmental biology and cellular reprogramming
![](https://www.iam.ubc.ca/wp-content/uploads/2019/11/cropped-Srebnik-S-2019-2.png)
Simcha Srebnik, Chemical and Biological Engineering
Statistical thermodynamics of polymers and biopolymers, mechanical properties of polymers melts and polymer networks, protein folding and stability, functional materials, hierarchical modeling
![](https://www.iam.ubc.ca/wp-content/uploads/2019/11/2019-03-12-Lele-Wang-CKiernan-01-WEB.jpg)
Lele Wang, Electrical and Computer Engineering
Information theory, coding theory, communication theory, mathematical data science