I'm Shamik and I enjoy building solutions to problems, mostly through programming (and occasionally with WD-40). I work as a Lead Data Scientist building machine learning applications for detecting and anonymizing PII and PHI in data breaches. I am also a part-time contributor to the BigScience Workshop, the BigBIO effort and the BigCode Project from ๐ค. In addition, I am working with PIISA, a collection of data scientists, software developers and lawyers to establish an open standard for PII protection that can be used across the globe. You can follow our efforts here. I also like to cook ๐จโ๐ณ
โโโ Interests
โ โโโ Natural Language Processing
โ โโโ Explainable Machine Learning
โ โโโ AI Ethics
โ โโโ System Design
โ โโโ PII Anonymization
โโโ Occupations
โ โโโ Software Engineer
โ โโโ Graduate Research Assistant
โ โโโ Lead Data Scientist
โ โโโ Senior Researcher
โโโ Locations
โ โโโ Kolkata, India
โ โโโ Boston, MA, USA
โ โโโ Tallahassee, FL, USA
โ โโโ Leeds, England
โโโ Book Suggestions
โโโ Fiction
โ โโโ The Three Body Problem - Cixin Liu
โ โโโ All the Light we cannot see - Anthony Doerr
โ โโโ Purple Hibiscus - Chimamanda Ngozi Adichie
โโโ Non-Fiction
โ โโโ Algorithms of Oppression - Safiya Umoji Noble
โ โโโ Braiding Sweetgrass - Robin Wall Kimmerer
| โโโ Chaos Machine - Max Fisher
| โโโ Viral Justice - Ruha Benjamin
โ โโโ Weapons of Math Destruction - Cathy O. Neill
โโโ Cookbooks
โโโ The Food Lab - J. Kenji Lopez-Alt
โโโ Mi Cocina - Rick Martinez
โโโ Dessert Person - Claire Saffitz
Publications
- Explaining AI for Malware Detection: Analysis of Mechanisms of MalConv
- PhD Thesis: Towards Explainability in Machine Learning for Malware Detection
- Static Malware Modeling and Detection using Topic Models
- BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing
- The bigscience roots corpus: A 1.6 tb composite multilingual dataset
P.S. The tree was built using Rich