# Sadanand Singh
Principal AI Research Scientist
More than 12 years of experience with deep learning, machine learning, numerical modeling and scientific computing in production environments. Proficient in Python, C++ and Linux.
- Google Scholar
- San Marcos, CA
Technical Skills
Languages - Python, C++/C, Rust, R, JavaScript, Bash/zsh
Concepts - Deep Learning, Machine Learning, Medical Imaging, Computer Vision, Numerical Optimization
Tools/Environment - PyTorch, Tensorflow/Keras, SciKit-Learn, Pandas, Git
Frameworks/Libraries - React, Astro, Typescript, TailwindCSS
Data - PostgreSQL, MongoDB, GraphQL, JSON
Experience
CEO and Director of Research
Quantbox NA - 2023 - present | USA (Remote)
- Cooking something cool and exciting…
Principal Scientist
MICRON - 2022 - 2023 | Hyderabad, India
- 2 patents in applications of ML in semiconductor manufacturing
- Developed causal analysis solutions for physical systems with minimal data
- ML framework development for DRAM Layout Design optimization
Principal Research Scientist
WHITERABBIT.AI - 2018 - 2022 | Santa Clara, CA
- Multiple publications in medical imaging AI for breast cancer detection
- FDA approval process for breast density estimation
- Models for customer engagement and prediction
Staff Engineer - Machine Learning
SAMSUNG - March 2018 - Aug 2018 | San Jose, CA
- Deep learning research on anomaly detection
- Machine learning solutions for extremely imbalanced data in manufacturing
Deep Learning Research Scientist
KLA TENCOR - 2017 - 2018 | Milpitas, CA
- Developed deep learning applications in lithography, defect detection and image translation
- Designed auto-encoder models for learning ellipsometry signals
- Designed product for defect detection in lithography
RET Design Engineer
INTEL - 2013 - 2017 | Hillsboro, OR
- Built efficient machine learning models to identify defects prior to production
- Designed and built deep learning models for the optimal placement of sub-resolution features on PSM masks
- Developed models and algorithms to design optical masks to enable lithography of 14nm, 10 nm and 7 nm nodes
- Designed new python and C++ libraries and APIs for RET data analysis, visualization and debugging
Education
PhD in Chemical Engineering
University of Wisconsin - Madison - 2008 - 2013 | Madison, WI
Advisor: Prof. Juan de Pablo Thesis: Energy landscapes of proteins and glassy materials
B.Tech in Chemical Engineering
Indian Institute of Technology Kanpur - 2004 - 2008 | Kanpur, UP, India
Accomplishments
- Six Intel Achievement Awards
- 10+ publications in the highest profile journals including Nature Materials and Nature Chemistry
- Work on ultra-stable glasses covered in regular media Source 1 Source 2
- Work on diabetes protein structure modeling highlighted in media Source
- Received one of the swiftest promotions in less than 3 years at Intel Corp. 2016
- International student academic achievement award, UW-Madison, 2012-13
- Ranked among top 0.5% of 400000+ students in nation-wide IIT entrance examination, 2004
Publications
I have 30+ publications in high-profile journals including Nature Materials, Nature Chemistry, and various medical imaging conferences. My work spans computational physics, medical AI, and semiconductor manufacturing. A selection of my most important publications:
- Deep is a Luxury We Don’t Have - MICCAI 2022
- An improved mammography malignancy model with self-supervised learning - SPIE Medical Imaging 2021
- A Multisite Study of a Breast Density Deep Learning Model - Radiology: Artificial Intelligence 2021
- Ultrastable glasses from in silico vapour deposition - Nature Materials (2013)
- Two-dimensional infrared spectroscopy reveals the complex behaviour of an amyloid fibril inhibitor - Nature Chemistry (2012)
For a complete list of publications with full details, PDFs, and ArXiv links, visit my publications page or Google Scholar profile.