Guha
Jayachandran, Ph.D.
http://cs.stanford.edu/people/guhaj
| guhaj@cs.stanford e d u
SUMMARY
Fundamental
and applied accomplishments. Experience in entrepreneurship, research,
and university-level teaching.
EDUCATION
All degrees below from Stanford University.
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Ph.D., Computer Science,
with Ph.D. Minor in Chemistry |
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Dissertation:
Parallel Computing Methods for Probing Biomolecular Kinetics and
Thermodynamics |
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Adviser:
Prof. Vijay S. Pande |
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Mayfield Fellow |
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9-month program in technological entrepreneurship
and management |
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M.S., Computer Science
(Specialization: Biocomputation/Bioinformatics) |
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>4.0 G.P.A. |
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B.S., Computer Science |
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Graduated "with Distinction." |
SELECTED HONORS
National Defense Science and Engineering Graduate
Fellow
Siebel Scholar – Awarded top computer science
and business graduate students in country
AAAS Science and Technology Policy Fellowship (declined)
Terman Engineering Scholastic Award – Top
engineering students at Stanford
Perfect score on the GRE
California Byrd Scholar
Target All Around Scholarship
National Merit Scholar
Black belt in Shotokan karate
Available upon request. Few recommendations visible here.
RESEARCH AND PROFESSIONAL EXPERIENCE
Postdoctoral Scholar, Chemistry
Department, Stanford University
Assistant
karate instructor
Volunteer, El Camino Hospital and Arbor Free Clinic
Stanford
President's Investment Responsibility Advisory Board
Siebel Scholars China Delegation
TEACHING
EXPERIENCE
Lecturer,
Blockchain Technologies (Topics in Cryptography)
Lecturer,
Deep Learning (Topics in Artificial Intelligence)
Instructor (CA),
Computational Drug Discovery
Teaching Assistant, Computational Models of the Neocortex
Teaching Assistant, Algorithms for Structure and Motion
in Biology
Section Leader,
Introductory Computer Science
SELECTED PUBLICATIONS
Shriphani Palakodety,
Ashiqur R. KhudaBukhsh, Guha Jayachandran. Low Resource Social Media Text Mining.
SpringerBriefs in Computer Science book series. 2021.
Shriphani Palakodety,
Guha Jayachandran, Aditya V. Thakur. "An SMT Approach To A Multiparty Economic Scheduling Problem."
17th International Workshop on Satisfiability Module Theories (SMT19). 2019.
Volkmar Frinken,
Satish Ravindran, Shriphani Palakodety, Guha Jayachandran, Nilesh Powar.
"Video and Audio Data Extraction for Retrieval, Ranking and Recapitulation (VADER3)."
IAPR Workshop on Artificial Neural Networks in Pattern Recognition. 2018.
Guha
Jayachandran. Computational Drug
Discovery. Course reader available free online.