Student Researcher
CurrentPart of the Genomics team - working on pushing the boundaries of Med-Gemini for genomics data.
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Abhishek Sharma is listed as PhD Candidate @ Harvard | Reinforcement Learning, Health AI at Google, a with 1 employees, based in Cambridge, Massachusetts, United States. AeroLeads shows a matched LinkedIn profile for Abhishek Sharma.
Abhishek Sharma previously worked as Student Researcher at Google and Graduate Student at Harvard University. Abhishek Sharma holds Doctor Of Philosophy - Phd, Computer Science from Harvard University.
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I am a PhD candidate in Computer Science at Harvard University, where I do research on machine learning at the Data to Actionable Knowledge (DTAK) lab. I have over six years of experience in applying reinforcement learning, probabilistic machine learning, and deep learning techniques to solve real-world problems in diverse domains such as healthcare, education, and process optimization.I have worked on machine learning projects at Mitsubishi Electric Research Labs, Qualcomm, and Sony. I am passionate about exploring fundamental research questions AND building engineering systems that work well in the real world.
Listed skills include Teamwork, Matlab, C++, Entrepreneurship, and 36 others.
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A career timeline built from the work history available for this profile.
Mountain View, Ca, Us
Part of the Genomics team - working on pushing the boundaries of Med-Gemini for genomics data.
Cambridge, Massachusetts, Us
Data to Actionable Knowledge (DTAK) lab. Research on probabilistic modeling, reinforcement learning and time series, which applications to healthcare data.
Mountain View, Ca, Us
Foundation model research on waveform data with applications to healthcare.
Amherst, Massachusetts, Us
- Semester 3/4: Coursework in Algorithms and Simulation. Research in Point processes and graphical models.- Semester 2: Coursework in Graphical Models and Optimization. Research work in ML for Healthcare and Reinforcement Learning. GPA: 4/4. - Semester 1: Coursework in Algorithms, Machine Learning and Reinforcement Learning. GPA: 4/4.
Amherst, Massachusetts, Us
Grader for the Reinforcement Learning course. Scribed for and made assignments for the Optimization course.
San Diego, Ca, Us
Worked on and proposed techniques to reduce the time and data required to train machine learning models while maintaining high prediction capabilities. These included Active Learning, Coreset Selection and several other sampling techniques.
Gurgaon, Harayana, In
- Implemented and benchmarked state of the art algorithms in Deep Reinforcement Learning as applied to game playing (Atari) and translating natural language to SQL queries (Seq2SQL).- Prepared training material and demos to teach Reinforcement Learning.
Chennai, Tamilnadu, In
Worked on research projects in data mining and bandit algorithms. Also worked on consulting projects, advising industries use data science to solve business problems.
Chennai, Tamilnadu, In
Unanimously elected by 8500 strong electorate of IIT Madras student bodyAlumni Relations• Leading a team of 13 cores and 112 coordinators to help students meet, network with, and get mentored by IITM alumni• Organized first ever meet in Singapore• Developing the digital infrastructure for Alumni Relations; setting up a crowdfunding platform (to raise INR 2+ Crores yearly) for independent projects; initiated specials deals for 40000+ IITM alumniInternational Relations• Established cultural and industrial student exchange with Tsingua University.• Introduced revenue-based model in Buddy Program (iPALS); increased the scale and number of activities
Chennai, Tamil Nadu, In
My responsibilities involved looking into the operations for Shaastra 2015. Key initiatives during my term included complete digitization of operations, which including doing away with traditional procedure of letters, for electronic signatures. These processes have since been replicated by several other teams and offices inside the university.Key Achievements:- Led a team of 25 members (team size reduced by 50%) in management of a 100% bigger (in terms of participation and infrastructure) Shaastra. Managed 2 professional shows.- Optimized mean time per task by 600% by digitizing intermediary operations, like obtaining administrative permissions.- Revamped the department by establishing a sponsorship-centric model. Reduced operational costs by 15%.- Employed Kanban system in task management.- Conceptualized Gaming Zone and Movie Nights, the two most important additions to the events at Shaastra. These alone brought 2000+ in total footfall.
Chennai, Tamil Nadu, In
• Monitored quality of 5 events (combined footfall of 5k+) and Logistics department (largest department in terms of cash flow).• Introduced paperless feedback for 20k+ participants at Shaastra, achieving higher percentage of feedbacks and reducing economical and environmental costs of paper consumed.• Handled the execution of the Google Lunar Rover Challenge (highlight event of Shaastra 2014) as per ISO 9001:2008 norms.• Represented Shaastra (1016 employees) as part of 8 member team at surveillance audit by TUV NORD & retained ISO 9001:2008 certificate.
Chennai, Tamilnadu, In
• Formed and led a team of 10 cores and 40+ volunteers for 2 y; mentored in founding of 3 university chapters in Tamil Nadu.• Spearheaded installation of dignified toilets and improvement of water quality in Pozhichalur village, impacting 350 families. Partnerships with ISRO, DRDO, Govt of Tamil Nadu and IITM alumni.• Hosted the 3rd All India EWB Meet to build industry relations; attended by 200 students, 50 professionalsTasks involved:- Coordinating and managing the coordinator team- Working with the local community to perform the work on the project and develop capacity- Raise funds for the pilot project with the help of various IITM alumni and corporates.- Managing relationships and expectations of the community and the partner organization- Ensuring fluid, centralized communications between the project team, community members and the local partner organization- Guiding project strategy set with the community and India-based EWB coordinators- Financial management- Project marketing including producing website and newsletter material- Recruitment of new volunteers
Chennai, Tamilnadu, In
• Unanimously elected by 400 residents of Narmada hostel to lead the hostel in inter-hostel Literary-Social Competitions.• Led Narmada hostel to celebrate cracker-free Diwali, a model which was adopted by ALL hostels in IIT Madras from next year.
Tokyo, Jp
Intelligent System Technology Development DepartmentApplication Technology Development DivisionSystem R&D Group
• Developed data mining algorithms to create LocaLPad Maps Database of 300,000+ Indian and American data points.• Spearheaded entry of the venture into India; conceived marketing initiatives for the product• Brought in Factual as data services partner, helping setup data framework for the startup
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Quick answers generated from the profile data available on this page.
Abhishek Sharma works for Google.
Abhishek Sharma is listed as PhD Candidate @ Harvard | Reinforcement Learning, Health AI at Google.
Abhishek Sharma is based in Cambridge, Massachusetts, United States while working with Google.
Abhishek Sharma has worked for Google, Harvard University, Mitsubishi Electric Research Laboratories, University Of Massachusetts Amherst, and Qualcomm.
Abhishek Sharma's colleagues at Google include Mohammad Nasri, Abhinav Kumar, Claire Porter, Jeremy Wright, and Rebeca Mihai.
You can use AeroLeads to view verified contact signals for Abhishek Sharma at Google, including work email, phone, and LinkedIn data when available.
Abhishek Sharma holds Doctor Of Philosophy - Phd, Computer Science from Harvard University.
Abhishek Sharma is listed with skills including Teamwork, Matlab, C++, Entrepreneurship, Team Management, Leadership, Algorithms, and Mathematica.
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