Pushpak Pati

2022 - Present
Postdoctoral Researcher - IBM Rearch Zurich
- Composite staining optimization in immunohistochemistry (Lead)
- Concept disentanglement learning for biomarker discovery (Lead)
- Quantum computing for drug discovery (Co-Lead)
- Deep generative replay for continual unsupervised domain adaptation (Contributor)
2018 - 2021
Doctoral Researcher - IBM Research Zurich
- Graph representation learning in computational pathology
2013 - 2015
Software Development Engineer - Microsoft
- Key Information Service, Partner Quote
Summer 2012
Machine Learning Research Intern - Indian Statistical Institute
- Genetic algorithm for Fuzzy rule base optimization with prior knowledge

2018 - 2022
ETH Zurich – Ph.D. in Electrical Engineering & Information Technology
- Co-advised by Prof. Orcun Goksel and Dr. Maria Gabrani
- Thesis: Deep learning of entity‑guided representations in digital pathology
- Thesis committee: Prof. Anne Martel, Prof. Geert Litjens, Prof. Orcun Goksel, Dr. Maria Gabrani
- Awards: 2 Technical achievement awards at IBM, 3 Best paper awards at conference workshops
- Publications: 16 top-tier venues (6 journals, 6 conferences, and 4 workshops)
2015 - 2017
ETH Zurich - M.Sc. in Electrical Engineering & Information Technology
- Co-advised by Prof. Orcun Goksel and Dr. Maria Gabrani
- Focus on AI, ML, CV, and Medical imaging. GPA: 5.4 (6.0 scale)
- Thesis: Automatic quality assessment and standardization of immunostaining
2009 - 2013
National Institute of Technology (Rourkela, India) – B.Tech. in Electronics & Instrumentation Engineering
- Advised by Prof. Sarat Kumar Patra
- Thesis: Self‑tuning optimized fuzzy logic controller on Xilinx Vertex‑5
- GPA: 9.6 (10.0 scale)