Vineeth Venugopal
Cambridge
Summary
Accomplished researcher with extensive experience in Materials Science and Artificial Intelligence. Expert in developing large language models and knowledge graphs, with a proven track record of enhancing data-driven decision-making and fostering collaborative environments. Skilled in Python and scientific publishing, driving impactful innovations in material design.
Overview
15
15
years of professional experience
Work History
Visiting Scientist
Massachusetts Institute of Technology
(Remotely From India)
03.2025 - Current
I am working remotely from India on tasks of data and information from scientific literature using large language models and knowledge graphs.
Postdoctoral Scholar
Massachusetts Institute of Technology
04.2021 - Current
- Developed the largest autonomous knowledge graph in material science using LLMs for rapid querying, visualization, and data understanding; enhanced the field with the creation of the MatSciLLM Leaderboard, a comprehensive benchmark for LLMs in Materials Science.
- Created a recommender system for scientific publications using graph vector databases, optimizing access to relevant research, and predicted novel polymer, salt, and solvent combinations for solid polymer electrolytes.
- Established an end-to-end pipeline for image extraction and insight generation from scientific images, creating a substantial corpus and extracting data from scientific texts, resulting in over fifteen publications.
- Collaborated with interdisciplinary teams, leading to high-impact publications and presentations at national and international conferences; mentored junior researchers, enhancing their skills and project contributions.
- Fostered strong industry-academic partnerships, organized knowledge-sharing workshops, reviewed scientific manuscripts, contributed as a panelist in major discussions, and delivered guest lectures to highlight current research topics.
Data Scientist
Henkel
01.2021 - 03.2021
- Held an independent contract position focused on setting up a comprehensive patent library; managed the downloading, analysis, and information extraction from patents based on specified search terms and chemicals, enhancing data-driven decision-making through the implementation of machine learning models and natural language processing techniques.
- Developed custom data analytics solutions that cleaned, transformed, and analyzed large datasets, uncovering trends and patterns for strategic planning and operational improvements; effectively presented insights and complex findings using visualizations to support executive decision-making processes.
Visiting Research Scientist
Indian Institute of Technology
06.2020 - 01.2021
- Utilized Natural Language Processing to automate the extraction and analysis of text from published literature on 'Glasses,' focusing on data extraction and correlation using advanced NLP tools, which culminated in the creation of an attention model for glass literature.
- Achieved significant advancements in the field through innovative research strategies; results were published in prestigious scientific journals, leading to increased visibility and impact of the work, with four publications produced in just six months.
- Mentored junior researchers, fostering a supportive and productive learning environment, and contributing to the overall success and advancement of your research team.
Post-doctoral Scholar
University at Buffalo
03.2018 - 03.2019
- Leveraged Materials Informatics for the automated extraction and processing of scientific literature on Quantum materials, using natural language processing pipelines.
- Developed methods for extracting structure-property processing relationships from scientific literature, employing higher-dimensional correlation mapping to advance material design and innovation.
- Enhanced the visibility and impact of your research through presentations at national and international conferences, mentorship of junior researchers and students, and publication of peer-reviewed articles in top-tier academic journals.
PhD Research
Brown University
08.2010 - 06.2018
- Developed a process for screen printing lead-free ceramic materials, demonstrating incipient ferroelectric properties with field-induced phase transitions, and enhanced by infiltration with a sol-gel solution to produce dense ceramic thick films ranging from 8 to 20 micrometers.
- Conducted comprehensive dielectric and piezoelectric characterization of the thick films, including polarization, capacitance, and frequency-dependent studies, coupled with domain analysis using piezo force microscopy employing Dual AC resonance tracking and Band Excitation techniques.
- Modeled and analyzed the observed results, leading to a collaborative project with a leading printer manufacturer, which contributed significantly to advancements in the application of ceramic materials in printing technologies and improved product performance.
Education
Ph.D. - Materials Science
Brown University
Providence, RI06.2018
Master of Science - Material Science
Brown University
Providence, RI06.2014
Master of Technology -
Indian Institute of Technology, BHU
India06.2010
Bachelor of Technology -
Indian Institute of Technology
India06.2010
Skills
- Materials Science
- Artifical Intelligence
- Large Language Models
- Python
- Data Interpretation
- Academic Writing
- Quantitative Analysis
- Research and analysis
- Natural language processing
- Knowledge graph development
- Data analytics
- Machine learning
- Scientific publishing
- Technical writing
- Scientific writing
Conference Presentations
- A Knowledge Graph in Material Science, COMBI 2022, Colorado, Sep, 2022
- MatKG: The largest knowledge graph in Material Science, MRS 2022, Boston
- Spotlighted talk: A knowledge graph in Material Science, Neurips AI4Mat Workshop, New Orleans, 2022
- A novel method for knowledge discovery in graphs using Large Language Models, MRS Spring 2023, San Fransisco
Publications
- What do Large Language Models learn? A study of five language models. Submitted to Neurips, 2024.
- MIT-MatBench. A new benchmarking dataset for large language models in Material Science. Submitted to Neurips, 2024.
- Knowledge Discovery in Material Science using Knowledge Graph Embeddings, In preparation
- MatKG: A FAIR knowledge graph in Material Science., Nature Scientific Data, 2024
- Graph Analysis of concepts and relations in materials science, In preparation.
- MatKG-2: Unveiling precise materials science ontology through autonomous committees of LLMS, AI4Mat workshop, Neurips 2023
- Understanding domain behavior of composite Hybrid films using band Excitation Piezo Force Microscope- A Big Data approach Vineeth Venugopal, Seunghyun Kim, Angus Kingon, In preparation
- MatKG: The largest knowledge graph in Material Science. Neurips AI4Mat workshop. 2022.
- Hybrid piezoelectric thick films of Lead Zirconate Titanate: Strain response and domain segregation Vineeth Venugopal, Seunghyun Kim, Angus Kingon, In preparation
- Unveiling the Glass Veil: Elucidating the Optical Properties in Glasses with Interpretable Machine Learning, Mohd Zaki; Vineeth Venugopal, Ph.D.; R. Ravinder; Suresh Bishnoi, Anoop Krishnan, Acta Materialia, under review.
- Looking Through Glass: Knowledge Discovery from Materials Science Literature using Natural Language Processing. Vineeth Venugopal, Saurabh Kumar, Mohamad Zaki, Anoop Krishnan, Patterns, 2, June 2020
- Artificial Intelligence and Machine Learning in Glass Science and Technology: 21 Challenges for the 21s Century. Ravinder, Vineeth Venugopal, Mohamad Zaki, Anoop Krishnan, Journal of Applied Glass Science, January 2020.
- A Picture is Worth a Thousand Words: Applying Natural Language Processing Tools for Creating a Quantum Materials Database Map. Vineeth Venugopal, Scott Broderick, Krishna Rajan, MRS Communications, September 2019.
- BiFeO3-doped (K0.5,Na0.5)(Mn0.005,Nb0.995)O3 ferroelectric thin film capacitors for high energy density storage applications Sung Sik Won, Masami Kawahara, Lindsay Kuhn, Vineeth Venugopal, Jiyeon Kwak, Ill Won Kim, Angus I. Kingon, and Seung-Hyun Kim . Appl. Phys. Lett. 110, 152901 (2017)
- Lead-free Mn-doped (K0.5,Na0.5)NbO3 piezoelectric thin films for MEMS-based vibrational energy harvester applications Sung Sik Won, Joonhee Lee, Vineeth Venugopal, Dong-Joo Kim, Jinkee Lee, Ill Won Kim, Angus I. Kingon, and Seung-Hyun Kim . Appl. Phys. Lett. 108, 232908 (2016)
- New ceramics materials for Microwave Dielectric Resonator Applications Selected for presentation at the International Conference on Electroceramics (ICE 2009) at Delhi (13 – 17 December 2009)
- “Synthesis, Characterization and Microwave properties of Sr(2-x)La 2 Mg (1+x)W2 O12 (x = 0,1) ceramics for Microwave Dielectric Resonator applications” Vineeth Venugopal, P.S. Anjana, Om Parkash, D Kumar and M.T Sebastian; Journal of American Ceramic Society , Vol 93, Issue 3. 4/4/2009
Science Communication Publications
- Silicon Lasers: The Final Frontier, Photonics Focus, 01/07/2020
- The light way to 6G, Photonics Focus, 01/01/2021
- The prodigal Microchip, Photonics Focus, 01/05/2021
- The G-filter: A simple high-tech solution to India's water pollution, MRS Bulletin, 2019
- Lithium Ion batteries: Where did we come from, where do we go?, www.science.thewire.in, November, 2020
- Scientists have turned the structure of the coronavirus into music, Science, 03/04/2020
- Crystal microstructures inspire architecture 3D printed metamaterials, MRS Bulletin, 44, 4
- Bio Focus: Graphene microtransistors map brain activity, MRS Bulletin, 44, 3
- Bo Focus: Flexoelectricty found in bone, MRS Bulletin, 43, 4
- Universal Fragment descriptors predicts materials properties, MRS Bulletin, 42, 8
- Bayesian inference supersedes Reitveld technique in crystallographic structure refinement, MRS Bulletin, 41, 12
- Kirigami honeycomb material exhibits a Poisson's switch, MRS Bulletin, 41, 10
- Materials Fingerprints identified for informatics, MRS Bulletin, 40, 4
Leadership Experience
- Organizing Committee Member, Neurips AI4Mat workshop, 2023
- Board of Directors, International House of Rhode Island - A nonprofit organization serving international visitors, particularly graduate students, in Rhode Island. Active volunteer, member of several committees etc.
- Technical Officer, Graduate Student Council at Brown - In charge of several email list serves, the main graduate student website etc. Also, an active participant in university level decision making processes affecting all graduate students
Data Handling Skill Set
- Python based data science - Numpy, Pandas, Matplotlib
- Machine Learning - Scikitlearn, Pytorch, TensorFlow
- Large Language Models, Langchain, Streamlist, Flask
- C and C++
- CNNs, Reinforcement learning, Variational autoencoders, GANs, LSTMs
- Natural Language Processing - NLTK, genism, LSTM, Attention Models
- Mutivariate Statistics and Machine Learning (Kris Reyes, U at Buffalo, Fall, 2018)
- Quantum Computing - Qiskit, QC BQP algorithms
- Graphs and Graph Neural Networks using Networkx
Timeline
Visiting Scientist
Massachusetts Institute of Technology
03.2025 - Current
Postdoctoral Scholar
Massachusetts Institute of Technology
04.2021 - Current
Data Scientist
Henkel
01.2021 - 03.2021
Visiting Research Scientist
Indian Institute of Technology
06.2020 - 01.2021
Post-doctoral Scholar
University at Buffalo
03.2018 - 03.2019
PhD Research
Brown University
08.2010 - 06.2018
Ph.D. - Materials Science
Brown University
Master of Science - Material Science
Brown University
Master of Technology -
Indian Institute of Technology, BHU
Bachelor of Technology -
Indian Institute of Technology
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