
Ameya Joshi
Research Scientist (Multimodal Generative Models) at Playground
Updated 7 months ago
13+
Years Experience
12
Roles
23
Skills
5
Education
About
My interests lie in research and product development using tools like deep learning, computer vision and natural language processing. I am currently working on developing foundation models for computational genetics. I am very interested in working in small, gritty teams and companies focused on problem solving and niche techniques. My PhD thesis focuses on robust learning for multimodal models. I have also worked on generative models (GANs, VAEs) for physical systems and material discovery. I have previously interned at Meta in the Instagram Reels Ranking team, where I trained and deployed large recommendation models to production. I have also interned as a researcher at Bosch Center for AI, where I worked on adversarial attacks and defense for video classifiers. Google scholar: https://scholar.google.com/citations?user=jZgsp_sAAAAJ&hl=en Website: https://ameya005.github.io
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Experience (12 roles)
AI Researcher
CurrentBuilding the next generation of generative multimodal AI
Research Scientist
Research on developing innovative approaches for genomics and proteomics data, using large language models and multimodal deep models.
Graduate Research Assistant
New York University · Part-time
Skills: Generative Models · Diffusion models
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Education (5)
New York University
2020 - May 2023
Graduated with a PhD. Was advised by Prof. Chinmay Hegde. Thesis: Robustness and Control in Deep Networks. Skills: Deep Learning · Generative Models · Computer Vision
Iowa State University
2018 - 2019
PhD student at Iowa State University. Advised by Dr. Chinmay Hegde and Dr. Soumik Sarkar.
Birla Institute of Technology and Science, Pilani
2010 - 2014
Activities and societies: Core Member of Department of Backstage and Infrastructure Management, IEEE Member
Skills (23)
Publications (7)▼
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models
AAAI Conference on Artificial Intelligence · Feb 1, 2020
Weakly Supervised Fluid Filled Region Localization in Retinal Oct Scans
IEEE International Symposium on Biomedical Imaging (ISBI'18) · Jan 4, 2018
Encoding invariances in deep generative models
Arxiv · May 1, 2019
Detection of Diabetic Macular Edema in Optical Coherence Tomography Scans Using Patch Based Deep Learning
IEEE International Symposium on Biomedical Imaging (ISBI'18) · Jan 4, 2018
Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models
CVPR Workshop on vision for all seasons · Jun 1, 2019
Semantic Adversarial Attacks: Parametric attacks that fool deep classifiers
International Conference on Computer Vision (ICCV) · Jun 24, 2019
Selective Visualization of Anomalies in Fundus Images via Sparse and Low Rank Decomposition
ACM SIGGRAPH 2014
Languages (4)▼
Honors & Awards (1)▼
NTSE Scholar
Issued by National Talent Search Scheme · Jan 2007
Associated with Smt.SulochanaDevi Singhania School Chosen as one of the 500 students from all over India who were provided scholarships as National Scholars based on their performance in the NTS examination including a personal interview.
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