Rajesh Raju Email & Phone Number
Who is Rajesh Raju? Overview
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Rajesh Raju is listed as Research Officer - Staff Scientist in AI Material Discovery, Theory and Simulations at National Research Council Canada / Conseil national de recherches Canada, a company with 4743 employees, based in Canada, Canada, Canada. AeroLeads shows a matched LinkedIn profile for Rajesh Raju.
Rajesh Raju previously worked as Research Officer - AI Material Discovery Scientist at National Research Council Canada / Conseil National De Recherches Canada and ML Researcher at Prof. Yoshua Bengio's lab at Mila - Quebec Artificial Intelligence Institute. Rajesh Raju holds Specialized Graduate Diploma In Machine Learning from Mila - Quebec Artificial Intelligence Institute.
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About Rajesh Raju
Passionate researcher with more than 16 years in computational and machine learning approaches in chemical and material problems. Demonstrated expertise and capability in the usage of electronic structure methods and machine learning approaches in solving problems relevant to the catalytic, material, and nanoscience community. Excellent project management skills and independent leadership capacity. Productive independent researcher with excellent communication, presentation, and team skills. Experience in attractive competitive grants from external funding agencies and making collaborations with eminent scientists.
Rajesh Raju's current company
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Rajesh Raju work experience
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Research Officer - Ai Material Discovery Scientist
CurrentI am part of the Clean Energy Innovation Lab at the National Research Council of Canada, where we focus on developing innovative materials for sustainable energy. Our goal is to achieve net zero emissions through the use of cutting-edge, self-driving AI autonomous labs, leading the way in energy innovation.
Ml Researcher At Prof. Yoshua Bengio'S Lab
Science And Research Fellow
- Supported research and development efforts to create a deep reinforcement learning machine learning model for catalyst surface stability under reaction conditions.
- Developing online and offline active learning machine learning framework combined with genetic algorithm for the automated discovery of nanocatalysts for sustainable energy research
Assistant Research Scientist
- Lead the computational material research in the development of metal-free graphene carbocatalysts for the electrochemical reduction of co2 to fuels and provided support to experimental collaborators in their research.
- Developed the project idea of carbocatalysts, lead the proposal preparation in collaboration with the experimental research group, and assisted the supervisor in the submission of the research project to the qatar.
Visiting Scientist
- Worked across multiple projects in the field of computational nanoscience with a particular focus on the design and development of nanoclusters and nanoalloys for the electroreduction of co2 to fuels.
- Assisted the experimental collaborators in the identification of the best candidates for nanocatalysis by exploring the electronic, size, and external support effects on co2 electroreduction.
Visiting Faculty
Taught Theoretical and Physical Chemistry courses for Integrated BS-MS students
Assistant Research Scientist
- Performed DFT modeling studies on the discovery of new catalysts for the hydrogenation of co2-derivatives such as carbonate and formate into methanol.
Postdoctoral Research Associate
- Led several projects that employ computational catalytic design strategies for the development of molecular-based catalysts for olefin purification as a replacement method for the highly energy-intensive cryogenic.
- Designed novel high-efficient molecular complexes made of cheap and earth-abundant metals for the hydrogenation of co2 into formic acid employing dft level methods.
- Evaluated the performance of DFT functionals for their applications in the homogeneous catalytic reactions that involve transition metal complexes using a unified data of experimental bond dissociation energies.
Postdoctoral Research Associate
- Established the importance of weak noncovalent interactions in chemical and biological recognition.
- Explored the role of these weak interactions in DNA binding specificity employing a variety of computational methodologies such as DFT, QM, and MD.
- Assisted and guided graduate and undergraduate researchers in developing computational skills in QM, DFT, and MD methods.
Postdoctoral Research Associate
- Investigated protein folding pathways and macromolecular assembly employing molecular dynamic simulations
The University Of Manchester, Uk
- Explored the carbohydrate-protein recognition phenomena in biological systems employing dispersion-corrected density functional (DFT-D) and semi-empirical methods.
- Benchmarked the performance of difference of DFT for carbohydrate-π interactions with respect to the high-level coupled cluster CCSD(T) calculations.
- Explored the role played by the weak non-bonded interactions such as OH/π, NH/π, and CH/π in the binding energetics of HIV-1 Reverse Transcriptase with nevirapine and the effects of mutation- A combined approach.
- Studied Effects of perflourination on carbohydrate-π interactions using both QM and MD methods.
- Taught physical Chemistry and Computational Chemistry lab sessions for BS and MS students.
- Guided computational chemistry theory and project work for the third year MS and MChem students.
Junior Research Fellow
- Performed multistate multimode vibronic dynamics of small molecular systems such as ethane and spiropentane
Colleagues at National Research Council Canada / Conseil national de recherches Canada
Other employees you can reach at nrc-cnrc.gc.ca. View company contacts for 4743 employees →
Véronique Villeneuve
Colleague at National Research Council Canada / Conseil National De Recherches Canada
Plantagenet, Ontario, Canada, Canada
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GD
Gilles Drouin
Colleague at National Research Council Canada / Conseil National De Recherches Canada
Ottawa, Ontario, Canada, Canada
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Nadia Loiseau
Colleague at National Research Council Canada / Conseil National De Recherches Canada
Contrecoeur, Quebec, Canada, Canada
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PE
Patrick Elsey
Colleague at National Research Council Canada / Conseil National De Recherches Canada
Ottawa, Ontario, Canada, Canada
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ML
Maria Luz Jaramillo
Colleague at National Research Council Canada / Conseil National De Recherches Canada
Beaconsfield, Quebec, Canada, Canada
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LZ
Linbo Zhang
Colleague at National Research Council Canada / Conseil National De Recherches Canada
Canada, Canada
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HX
Hongyi Xu
Colleague at National Research Council Canada / Conseil National De Recherches Canada
Ottawa, Ontario, Canada, Canada
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YC
Youssef Chouay
Colleague at National Research Council Canada / Conseil National De Recherches Canada
Ottawa, Ontario, Canada, Canada
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PK
Phillip Koppman
Colleague at National Research Council Canada / Conseil National De Recherches Canada
Greater Ottawa Metropolitan Area, Canada
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MS
Mo Salahuddin
Colleague at National Research Council Canada / Conseil National De Recherches Canada
Ottawa, Ontario, Canada, Canada
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Rajesh Raju education
Specialized Graduate Diploma In Machine Learning
Doctor Of Philosophy (Phd), Chemistry
Master Of Science (Ms), Chemistry, First Rank Holder And Gold Medalist
Bachelor Of Science (Bs), Chemistry, 99.1% First Rank Holder
Frequently asked questions about Rajesh Raju
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What company does Rajesh Raju work for?
Rajesh Raju works for National Research Council Canada / Conseil national de recherches Canada.
What is Rajesh Raju's role at National Research Council Canada / Conseil national de recherches Canada?
Rajesh Raju is listed as Research Officer - Staff Scientist in AI Material Discovery, Theory and Simulations at National Research Council Canada / Conseil national de recherches Canada.
Where is Rajesh Raju based?
Rajesh Raju is based in Canada, Canada, Canada while working with National Research Council Canada / Conseil national de recherches Canada.
What companies has Rajesh Raju worked for?
Rajesh Raju has worked for National Research Council Canada / Conseil National De Recherches Canada, Mila - Quebec Artificial Intelligence Institute, Carnegie Mellon University, Texas A&M University, and University Of Birmingham.
Who are Rajesh Raju's colleagues at National Research Council Canada / Conseil national de recherches Canada?
Rajesh Raju's colleagues at National Research Council Canada / Conseil national de recherches Canada include Véronique Villeneuve, Gilles Drouin, Nadia Loiseau, Patrick Elsey, and Maria Luz Jaramillo.
How can I contact Rajesh Raju?
You can use AeroLeads to view verified contact signals for Rajesh Raju at National Research Council Canada / Conseil national de recherches Canada, including work email, phone, and LinkedIn data when available.
What schools did Rajesh Raju attend?
Rajesh Raju holds Specialized Graduate Diploma In Machine Learning from Mila - Quebec Artificial Intelligence Institute.
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