PhD-ing with Dr. Trevor Brown and Dr. Peter Buhr @University of Waterloo.

My research is inherently interdisciplinary, integrating multiple subfields within computer science—including Data Structures & Algorithms, Computer Architecture, Programming Languages, Operating Systems, and Networks—with a focus on parallelism, concurrency, and distribution. 

My work alternates between:

1. Desiging high performance data structures and algorithms that are optimized to leverage the capabilities of modern computing platforms, such as multicore processors, NUMA architecture, NVRAM, and RDMA enabled clusters.

2. Designing new hardware or software primitives that augment the capabilities of modern computing platforms, making them better suited to support efficient and scalable data structures and algorithms. 

Currently, My projects are focused on:

• Designing high performance memory management for concurrent software. [Algorithms | Operating System]

• Hardware-software codesign to address memory management and scalability issues in concurrent programs. [Algorithms | Computer Architecture]

• Data structures and algorithms for emerging memory and network technologies- focus on RDMA clusters. [Algorithms | Networks]

In the past, I explored non-volatile memory programming abstractions and software transactional memory. Additionally, I have delved into security, specifically managing insider threat detection and mitigation using large organizational data.

Looking forward, I am exploring ideas to address scaling up and scaling out issues in current big data, AI/ML workloads within both shared memory and distributed memory settings.