Jerome White

I am a computer scientist who enjoys building technology to address societal challenges.

Google Scholar • Github • LinkedIn

Experience

Senior Machine Learning Scientist, Wadhwani AI Sep 2018–Jun 2023

Played an active role in the organization’s growth from around 15 people to almost 200. During that time I:

Lecturer, NYU Abu Dhabi Sep 2014–Aug 2018

Teaching

Research

Researcher, IBM Research Jan 2011–Aug 2014

Software Engineer, EMC Jun 2007–Nov 2010

Education

California Institute of Technology

Rensselaer Polytechnic Institute

Service

Supporting Materials (Talks, Publications, and Code)

[1]
Agrawal, C. et al. “Maintaining User Trust Through Multistage Uncertainty Aware Inference.” Association for the Advancement of Artificial Intelligence (AAAI). Deployable AI Workshop, 2024.
[2]
White, J. et al. “BOLLWM: A Real-World Dataset for Bollworm Pest Monitoring from Cotton Fields in India.” International Conference on Learning Representations (ICLR). Workshop on Practical Machine Learning for Developing Countries, 2023.
[3]
Dalmia, A. et al. “Pest Management in Cotton Farms: An AI-System Case Study from the Global South.” International Conference on Knowledge Discovery and Data Mining (KDD). ACM, 2020.
[4]
White, J. et al. “A Case for Rejection in Low Resource ML Deployment.” Conference on Neural Information Processing Systems (NeurIPS). Workshop on Challenges In Deploying And Monitoring Machine Learning Systems, 2022.
[5]
Jain, S. et al. “A Flexible Data-Driven Framework for COVID-19 Case Forecasting Deployed in a Developing-World Public Health Setting.” AI for Social Impact, M. Tambe et al., eds. 2022.
[6]
Cramer, E.Y. et al. “Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States.” Proceedings of the National Academy of Sciences, Vol. 119(15). 2022.
[7]
Deva, A. et al. “Interpretability of Epidemiological Models: The Curse of Non-Identifiability.” International Conference on Learning Representations (ICLR). AI for Public Health Workshop, 2021.
[8]
Bannur, N. et al. “Synthetic Data Generation for Improved COVID-19 Epidemic Forecasting.” medRxiv, 2020.
[9]
Khandelwal, Y. et al. “NurtureNet: A Multi-Task Video-Based Approach for Newborn Anthropometry.” Conference on Computer Vision and Pattern Recognition (CVPR). Workshop on Computer Vision for Physiological Measurement, 2024.
[10]
White, J. “Automated Pest Recognition for Smallholder Cotton Farmers.” Easy RIDER: Real-time IDentification for Ecological Research; Monitoring; WILDLABS, 2023.
[11]
White, J. “ZindiWeekendz: Wadhwani AI Bollworm Classification Challenge.” Zindi, 2022.
[12]
Lim, A. et al. “Out-of-Distribution Image Detection in AI-Based Pest Management App.” Master’s thesis. Harvard University, 2022.
[13]
“Pest Monitoring.” https://github.com/WadhwaniAI/pest-monitoring; GitHub, 2022.
[14]
“Covid Modelling.” https://github.com/WadhwaniAI/covid-modelling; GitHub, 2021.
[15]
White, J. and Oard, D.W. “Simulating Zero-Resource Spoken Term Discovery.” Conference on Information and Knowledge Management (CIKM). ACM, 2017.
[16]
Oard, D.W. et al. “Vapor Engine: Demonstrating an Early Prototype of a Language-Independent Search Engine for Speech.” Conference on Human Information Interaction and Retrieval (CHIIR). ACM, 2016.
[17]
White, J. et al. “Using Zero-Resource Spoken Term Discovery for Ranked Retrieval.” Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). ACL, 2015.
[18]
Oard, D.W. et al. “A Test Collection for Spoken Gujarati Queries.” International Conference on Research and Development in Information Retrieval (SIGIR). ACM, 2015.
[19]
Bhardwaj, A. et al. “Understanding Sudden Traffic Jams: From Emergence to Impact.” Development Engineering, Vol. 8, pp. 100105. 2023.
[20]
White, J. and Duggirala, M. “Speech-Interface Prompt Design: Lessons from the Field.” International Conference on Information and Communication Technologies and Development (ICTD). ACM, 2015.
[21]
Ramakrishna, V. et al. “An Un-Tethered Mobile Shopping Experience.” Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous). Springer, 2014.
[22]
White, J. et al. “Simulating Early-Termination Search for Verbose Spoken Queries.” Conference on Empirical Methods in Natural Language Processing (EMNLP). ACL, 2013.
[23]
Oard, D.W. et al. “The FIRE 2013 Question Answering for the Spoken Web Task.” Forum for Information Retrieval Evaluation (FIRE). ACM, 2013.
[24]
White, J. et al. “Expansion Methods for Job-Candidate Matching Amidst Unreliable and Sparse Data.” International Conference on Computational Linguistics (COLING). ACL, 2012.
[25]
White, J. et al. “Designing a Voice-Based Employment Exchange for Rural India.” International Conference on Information and Communication Technologies and Development (ICTD). ACM, 2012.
[26]
White, J. “Applying Formal Methods to Distributed Algorithms Using Local-Global Relations.” PhD thesis. California Institute of Technology, 2011.
[27]
Pilotto, C. and White, J. “Towards a Verification Framework for Faulty Message Passing Systems in PVS.” Innovations in Systems and Software Engineering, Vol. 7(2), pp. 109–118. Springer-Verlag, 2011.
[28]
Chandy, K.M. et al. “Verification of Distributed Systems with Local-Global Predicates.” Formal Aspects of Computing, Vol. 23(5), pp. 649–679. Springer-Verlag, 2011.
[29]
Pilotto, C. and White, J. “Verification of Faulty Message Passing Systems with Continuous State Space in PVS.” NASA Formal Methods Symposium. 2010.
[30]
Pilotto, C. et al. “Consensus on Asynchronous Communication Networks in Presence of External Input.” Conference on Decision and Control. IEEE, 2010.
[31]
Chandy, K.M. et al. “Towards Verified Distributed Software Through Refinement of Formal Archetypes.” Working Conference on Verified Software: Workshop on Experiments. IFIP, 2008.
[32]
White, J. “Receive Buffer Dynamics and OS Scheduling.” Master’s thesis. California Institute of Technology, 2008.
[33]
White, J. and Wie, X. “Effect of Receive Buffer Size: An OS-Based Perspective.” International Workshop on Protocols for FAST Long-Distance Networks. 2007.
[34]
Castro, P. et al. “Before-Commit Client State Management Services for AJAX Applications.” Workshop on Hot Topics in Web Systems and Technologies (HotWeb). IEEE, 2006.
[35]
Black, J. et al. “Live Data Views: Programming Pervasive Applications That Use "Timely" and "Dynamic" Data.” International Conference on Mobile Data Management (MDM). ACM, 2005.
[36]
Ţăpuş, C. et al. “A Mechanism for Sequential Consistency in a Distributed Objects System.” International Conference on Parallel and Distributed Computing Systems. ISCA, 2004.
[37]
Bivens, A. et al. “Scalability and Performance of an Agent-Based Network Management Middleware.” International Journal of Network Management, Vol. 14(2), pp. 131–146. Wiley, 2004.