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Research Technician Biomedical Engineering

Location:
Manhattan, NY, 10030
Posted:
February 04, 2024

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Resume:

Yash Bhambhani ad3cqo@r.postjobfree.com • 929-***-****

http://www.linkedin.com/in/yashbhambhani • New York, NY 04

th

February 2024

Zuckerman Mind Brain and Behavior Institute

Dear Selection Committee,

I'm Yash, a recent biomedical engineering graduate from Columbia University specializing in Neural Engineering (GPA 3.5/4). I also hold a Masters in Robotics from University of Technology, Sydney. I am writing to express my sincere interest in the Research Technician I at The Zuckerman Mind Brain and Behavior Institute at Columbia University. My academic journey and research experiences have equipped me with a comprehensive background in Neural Engineering and Robotics, making me well- prepared to advance the groundbreaking work conducted at Zukerman Institute. Research Experience and Expertise:

At Columbia University, I delved into neural engineering concepts, actively participating in projects at the Brain Computer Interface Lab. My experiences, such as contributing to the P300 speller paradigm and the Decoding Imagined movement paradigm, equipped me with robust skills in EEG data analysis and a nuanced understanding of Neuromodulation. As part of research on Alzheimer’s Patients, designed a novel approach to enhance associative memory impairments through a hybrid Transcranial magnetic stimulation (rTMS) - Cognitive training protocol, showcasing my ability to develop innovative solutions to complex neurological challenges. The project involved extensive research, grant proposal preparation for NIH funding, and a commitment to advancing research methodologies.

As a Research & Development Intern at Lilu Inc, engaged in various facets of product design, from data organization and analysis to firmware development, demonstrated my ability to meet project deadlines efficiently and collaborate effectively in a team environment. At UTS, crated algorithms for sensor integration in rehabilitation and assistive robotics. Developed an IMU system for wheelchair control and a gesture-controlled robotic arm utilizing LEAP sensor technology, underscoring my commitment to creating innovative technologies that enhance the lives of individuals facing mobility and cognitive challenges Alignment with Zuckerman Mind Brain and Behavior Institute Research Focus: The interdisciplinary nature of the research focus of The Sensing, Interaction & Perception Lab, merging neural engineering, neuroscience & neurorehabilitation, aligns seamlessly with my academic background and research experiences due to the following reasons: o My experience with interactive and real-time systems. o My experience of developing robust machine learning algorithms for signal processing. o My understanding of EEG signals and data coding. I believe that my academic background, research experience, and technical skills make me a strong candidate for this position.

Sincerely,

Yash Bhambhani

P a g e 1 2

Yash Bhambhani ad3cqo@r.postjobfree.com • 929-***-****

http://www.linkedin.com/in/yashbhambhani • New York, NY Dedicated to advancing innovation at the intersection of technology and healthcare, with a profound commitment to enhancing quality of life of individuals grappling with cognitive/mobility impairments due to neurodegenerative disorders and those facing movement deficits resulting from stroke or accidents. QUALIFICATIONS SUMMARY

• Demonstrated expertise in discerning

distinct EEG responses — ASSR,

SSVEP, Imagined Movement through

Mu Waves, and ERP in applications like

the P300 speller; acquired through

hands-on experimentation and analysis

in the laboratory setting

• Specialize in neural network

development for posture tracking in

healthcare applications, exhibiting deep

understanding of artificial intelligence in

health monitoring devices.

• Proficient in applying complex data

analysis methods to improve medical

device functionality, aligning with specific

user needs in medical contexts.

• Proven expertise in crafting algorithms

for sensor integration in rehabilitation

and assistive robotics; showcased

through innovative projects, including an

IMU system for wheelchair control and a

gesture-controlled robotic arm utilizing

LEAP sensor technology.

EDUCATION

Master of Science - Biomedical

Engineering, Columbia University, New

York, USA, 2023 (CGPA: 3.5/4)

Master of Engineering - Robotics University

of Technology Sydney (UTS), Sydney,

Australia, 2021 (CGPA: 5.38/7)

Bachelor of Technology – Mechatronics,

Manipal Institute of Technology, Manipal,

India, 2019

TECHNICAL PROFICIENCIES

Python, TensorFlow, Robot Operating

System (ROS), Pytorch, MATLAB, Linux

CERTIFICATIONS

Advanced Certificate in Artificial

Intelligence and ML, IIIT Hyderabad, India

Management Development Program on

"Basic Leadership Skills", XLRI,

Jamshedpur, India

EXPERIENCE HIGHLIGHTS

Columbia University, New York, NY 2022 – 2023

Developed thorough understanding of Neural engineering concepts through coursework in diverse subjects including, Brain - Computer Interface Lab, Signal Modeling, Computational Neuroscience, Biomedical Innovation, Electrophysiology of Memory/Navigation and Neural Networks.

• Memory Impairments in Alzheimer’s Patients Research Project

(2023): Designed a novel approach to enhance associative memory impairments in Alzheimer’s patients through a combined Intermittent Theta-Burst stimulation – Cognitive training protocol o Conducted extensive research to determine stimulation target and parameters

o Prepared a comprehensive grant proposal to pitch to NIH in order to secure funding

• Surgical Ergonomics Project (2022 – 2023): Developed an ergonomic training tool with four-member team utilizing OpenCV and Media Pipe; with the objective of bolstering/improving back posture among surgical residents.

o Spearheaded extensive research through 20+ interviews with surgical residents.

o Mapped pain points through consultations with

musculoskeletal pain specialists.

• Spectral Representations for Convolutional Neural Networks Project (2022): Engineered innovative method to expedite convolution computations in CNNs via Discrete Fourier Transforms.

o Executed Spectral pooling and spectral parameterization to augment information retention per parameter and decrease training epochs.

o Accomplished 70% validation accuracy on CIFAR-10 and CIFAR-100 datasets through rigorous model testing. Lilu Inc, New York, United States 2023

Research & Development Intern

Contributed to conception and creation of advanced smart bra. Conducted and executed test protocols for key functions such as breathing and lactation detection.

o Successfully engaged in various product design facets—ranging from data organization and analysis to firmware development and protocol testing—meeting all project deadlines efficiently. o Crafted and utilized Python scripts for sensor data interpretation, collaborating effectively with Lilu's team for documentation. P a g e 2 2

.

Polestar, Sydney, Australia 2022

Customer Service Representative

o Effectively communicated information about the Polestar 2 and the broader EV market to customers through various channels, addressing both general and technical inquiries. o Orchestrated and led test drives for Polestar 2, compiling daily reports reflecting customer feedback. o Played pivotal role in launch phase, engaging directly with customers and facilitating test drives, contributing to initial market penetration and customer experience enhancement. University of Technology Sydney (UTS), Sydney, Australia 2019 – 2021 Completed Robotics Studio, Biomedical Instrumentation, Wireless Sensor Networks, and Leadership and Responsibility courses; enriched skill set that focuses on technology, innovation, and leadership

• Brain Computer Interface Project (2020 – 2021): Engineered Convolutional Neural Network (CNN) to discern left or right-hand movements from EEG datasets capturing four motor imagery tasks. o Enhanced data analysis by applying Hilbert-Huang transform post-filtering, creating spectral plots for each electrode; plots, compiled into collage, served as inputs for CNN, culminating in 90% validation accuracy on trained dataset.

• Inertial Measurement Unit (IMU) Orientation Estimation System (2020): Developed MATLAB code to interface with an Arduino-connected MPU9250 IMU for wheelchair control, capturing and calibrating magnetometer data to enhance orientation accuracy. o Implemented orientation estimation algorithms, including Adaptive Heading Reference System

(AHRS) and Inertial Measurement Unit (IMU) filters, visualized in a custom 3D orientation viewer with synchronized box and axes representations.

• Traffic Light Recognition Using Duckiebot (2020): Compiled dataset of traffic lights as input vectors for YOLO Convolutional Neural Network, programming Duckiebot for autonomous navigation based on traffic light conditions.

• Gesture controlled Robotic Arm using LEAP (2019): Created Point Cloud for right hand via Leap sensor, defining as marker array in MATLAB. Employed ROS alongside markers to manipulate small robotic arm (DOBOT) according to predefined gestures. COLUMBIA UNIVERSITY OFFICIAL TRANSCRIPT

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This transcript was requested following all applicable state and federal laws, and is the official transcript of the student identified above. This official transcript has been transmitted electronically to the recipient identified above and is intended solely for use by that recipient. If you are not the intended recipient, please notify the Columbia University Office of the Registrar at 212-***-****. It is not permissible to replicate this document or forward it to any person or organization other than the identified recipient. Release of this record or disclosure of its contents to any third party without written consent of the record owner is prohibited. How to Authenticate This Official Transcript from Columbia University This official transcript has been digitally signed and therefore contains special security characteristics. If this transcript has been issued by Columbia University and this transcript is viewed using the latest version of Adobe® Acrobat or Adobe® Reader, it will reveal a digital certificate that has been applied to the transcript. This digital certificate will appear in a pop-up screen or status bar on the transcript, display a blue ribbon, and declare that the transcript was certified by Parchment Inc. with a valid certificate issued by GlobalSign CA for Adobe®. This transcript certification can be validated by clicking on the Signature Properties of the transcript. The blue ribbon symbol is your assurance that the digital certificate is valid, the transcript is authentic, and the contents of the transcript have not been altered.

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The official transcript explanation is the last page of this document. The current version of Adobe® Reader is free of charge and available for immediate download at http://www.adobe.com. If you require further information regarding the authenticity of this transcript, please contact the Columbia University Office of the Registrar by email at ad3cqo@r.postjobfree.com or by phone at 212-***-****. OFFICE OF THE UNIVERSITY REGISTRAR

1140 Amsterdam Avenue 205 Kent Hall, Mail Code 9202 New York, New York 10027 212-***-**** Yash Bhambhani

ad3cqo@r.postjobfree.com ad3cqo@r.postjobfree.com

Yash Bhambhani

- Copy of Official Transcript -

COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK

NAME: Yash Bhambhani CANDIDACY: Master of Science

SSN#: XXX-XX-6010 MAJOR: BIOMEDICAL ENGINEERING

SCHOOL: FU FOUNDATN SCHL OF ENGINEERING & APPLIED SCIENCE:GRAD PROGRAM TITLE: Biomedical Engineering

SUBJECT COURSE TITLE POINTS GRADE

NUMBER

Fall 2022

BMEB W 4020 COMP NEURO: CIRCUITS IN BRAIN 3.00 A+ BMEN E 6005 BIOMEDICAL INNOVATION I 3.00 A-

ECBM E 4040 NEURAL NETWRKS & DEEP LEARNING 3.00 A- EEBM E 6091 TPC:DEVICES&ANALYSIS FOR NEURO 3.00 A- ENGI E 4000 PDL FOR BIOMEDICAL ENG 0.00 P

GPA 3.835

Spring 2023

BMEN E 4050 ELECTROPHYS OF HUM MEM&NV 3.00 A

BMEN E 4420 SIGNAL MODELING 3.00 B+

BMEN E 6003 COMP MODELING-PHYSIOL SYS 3.00 A-

BMEN E 6006 BIOMEDICAL DESIGN II 3.00 A-

BMEN E 9700 BIOMEDICAL ENGINEERING SE 0.00 R

GPA 3.667

Fall 2023

APMA E 4990 INTRO TO APPLIED ANALYSIS 3.00 B

BMEN E 4999 FIELDWORK 1.00 A

BMEN E 9700 BIOMEDICAL ENGINEERING SEMINAR 0.00 R ECBM E 4090 BRAIN COMPUTER INTERFACES LAB 3.00 C GPA 2.714

REMARKS

Cumulative GPA: 3.517

This official transcript was produced on

JANUARY 09, 2024.

- Copy of Official Transcript -

Columbia College, Engineering and Applied Science, General Studies, Graduate School of Arts and Sciences, International and Public Affairs, Library Service, Human Nutrition, Nursing, Occupational Therapy, Physical Therapy, Professional Studies, Special Studies Program, Summer Session A, B, C, D, F (excellent, good, fair, poor, failing). NOTE: Plus and minus signs and the grades of P (pass) and HP (high pass) are used in some schools. The grade of D is not used in Graduate Nursing, Occupational Therapy, and Physical Therapy.

American Language Program, Center for Psychoanalytic Training and Research, Journalism P (pass), F (failing). Grades of A, B, C, D, P (pass), F (failing) — used for some offerings from the American Language Program Spring 2009 and thereafter. Architecture

HP (high pass), P (pass), LP (low pass), F (failing), and A, B, C, D, F — used June 1991 and thereafter P (pass), F (failing) — used prior to June 1991. Arts

P (pass), LP (low pass), F (fail).

Business

H (honors), HP (high pass), P1 (pass), LP (low pass), P (unweighted pass), F (failing); plus and minus used for H, HP and P1 grades Summer 2010 and thereafter. College of Physicians and Surgeons

H (honors), HP (high pass), P (pass), F (failing). College of Dental Medicine

H (honors), P (pass), F (failing).

Law

A through C [plus and minus with A and B only], CR (credit - equivalent to passing). F (failing) is used beginning with the class which entered Fall 1994. Some offerings are graded by HP (high pass), P

(pass), LP (low pass), F (failing). W (withdrawn) signifies that the student was permitted to drop a course, for which he or she had been officially registered, after the close of the Law School’s official Change of Program (add/drop) period. It carries no connotation of quality of student performance, nor is it considered in the calculation of academic honors. E (excellent), VG (very good), G (good), P (pass), U (unsatisfactory), CR (credit) used from 1970 through the class which entered in Fall 1993. Any student in the Law School’s Juris Doctor program may, at any time, request that he or she be graded on the basis of Credit-Fail. In such event, the student’s performance in every offering is graded in accordance with the standards outlined in the school’s bulletin, but recorded on the transcript as Credit-Fail. A student electing the Credit-Fail option may revoke it at any time prior to graduation and receive or request a copy of his or her transcript with grades recorded in accordance with the policy outlined in the school bulletin. In all cases, the transcript received or requested by the student shall show, on a cumulative basis, all of the grades of the student presented in single format – i.e., all grades shall be in accordance with those set forth in the school bulletin, or all grades shall be stated as Credit or Fail. Public Health

A, B, C, D, F - used Summer 1985 and thereafter. H (honors), P (pass), F (failing) — used prior to Summer 1985. Social Work

E (excellent), VG (very good), G (good), MP (minimum pass), F (failing). A though C is used beginning with the class which entered Fall 1997. Plus signs used with B and C only, while minus signs are used with all letter grades. The grade of P (pass) is given only for select classes. OTHER GRADES USED IN THE UNIVERSITY

AB = Excused absence from final examination.

AR = Administrative Referral awarded temporarily if a final grade cannot be determined without additional information.

AU = Audit (auditing division only).

CP = Credit Pending. Assigned in graduate courses which regularly involve research projects extending beyond the end of the term. Until such time as a passing or failing grade is assigned, satisfactory progress is implied.

F* = Course dropped unofficially.

IN = Work Incomplete.

MU = Make-Up. Student has the privilege of taking a second final examination. R = For the Business School: Indicates satisfactory completion of courses taken as part of an exchange program and earns academic credit.

R = For Columbia College: The grade given for course taken for no academic credit, or notation given for internship.

R = For the Graduate School of Arts and Sciences: By prior agreement, only a portion of total course work completed. Program determines academic credit. R = For the School of International and Public Affairs: The grade given for a course taken for no academic credit.

UW = Unofficial Withdrawal.

UW = For the College of Physicians and Surgeons: Indicates significant attempted coursework which the student does not have the opportunity to complete as listed due to required repetition or withdrawal.

W = Withdrew from course.

YC = Year Course. Assigned at the end of the first term of a year course. A single grade for the entire course is given upon completion of the second term. Until such time as a passing or failing grade is assigned, satisfactory progress is implied. OTHER INFORMATION

NOTE: All students who cross-register into other schools of the University are graded in the A, B, C, D, F grading system regardless of the grading system of their own school, except in the schools of Arts

% of A Effective fall 1996: Transcripts of Columbia College students show the percentage of grades in the A (A+, A, A-) range in all classes with at least 12 grades, the mark of R excluded. Calculations are taken at two points in time, three weeks after the last final examination of the term and three weeks after the last final of the next term. Once taken, the percentage is final even if grades change or if grades are submitted after the calculation. For additional information about the grading policy of the Faculty of Columbia College, consult the College Bulletin. KEY TO COURSE LISTINGS

A course listing consists of an area, a capital letter(s) (denotes school bulletin) and the four digit course number (see below). The capital letter indicates the University school, division, or affiliate offering the course:

The first digit of the course number indicates the level of the course, as follows:

A Graduate School of Architecture, Planning, and

Preservation

B School of Business

BC Barnard College

C Columbia College

D College of Dental Medicine

E School of Engineering and Applied Science

F School of General Studies

G Graduate School of Arts and Sciences

H Reid Hall (Paris)

J Graduate School of Journalism

K School of Library Services/Continuing

Education (effective Fall 2002)

L School of Law

M College of Physicians and Surgeons, Institute

of Human Nutrition, Program in Occupational

Therapy, Program in Physical Therapy,

Psychoanalytical Training and Research

N School of Nursing

O Other Universities or Affiliates/Auditing

P School of Public Health

Q Computer Technology/Applications

R School of the Arts

S Summer Session

T School of Social Work

TA-TZ Teachers College

U School of International and Public Affairs

V Interschool Course

W Interfaculty Course

Y Teachers College

Z American Language Program

UNDER THE PROVISION OF THE FAMILY EDUCATION

RIGHTS AND PRIVACY ACT OF 1974, THIS

TRANSCRIPT MAY NOT BE RELEASED OR REVEALED

TO A THIRD PARTY WITHOUT THE WRITTEN CONSENT

OF THE STUDENT.

0 Course that cannot be credited toward any degree 1 Undergraduate course

3 Undergraduate course, advanced

4 Graduate course open to qualified undergraduates 5 Graduate course open to qualified undergraduates 6 Graduate course

7 Graduate course

8 Graduate course, advanced

9 Graduate research course or seminar

Note: Level Designations Prior to 1961:

1-99 Undergraduate courses

100-299 Lower division graduate courses

300-999 Upper division graduate courses

The term designations are as follows:

X=Autumn Term, Y=Spring Term, S=Summer Term

Notations at the end of a term provide documentation of the type of separation from the University.

THE ABOVE INFORMATION REFLECTS GRADING SYSTEMS IN USE SINCE SPRING 1982. THE CUMULATIVE INDEX, IF SHOWN, DOES NOT REFLECT COURSES TAKEN BEFORE SPRING OF 1982. ALL TRANSCRIPTS ISSUED FROM THIS OFFICE ARE OFFICIAL DOCUMENTS. TRANSCRIPTS ARE PRINTED ON TAMPER-PROOF PAPER, ELIMINATING THE NEED FOR SIGNATURES AND STAMPS ON THE BACK OF ENVELOPES. FOR CERTIFICATION PURPOSES, A REPRODUCED COPY OF THIS RECORD SHALL NOT BE VALID. THE HEAT-SENSITIVE STRIP, LOCATED ON THE BOTTOM EDGE OF THE FACE OF THE TRANSCRIPT, WILL CHANGE FROM BLUE TO CLEAR WHEN HEAT OR PRESSURE IS APPLIED. A BLUE - SIGNATURE ALSO ACCOMPANIES THE UNIVERSITY SEAL ON THE FACE OF THE TRANSCRIPT. . Seal of Columbia University

in the city of New York

OFFICE OF THE UNIVERSITY REGISTRAR

STUDENT SERVICE CENTER

1140 AMSTERDAM AVENUE

205 KENT HALL, MAIL CODE 9202

NEW YORK, NEW YORK 10027

212-***-****

(prior to Spring 1993) and in Journalism (prior to Autumn 1992), in which the grades of P (pass) and F (failing) were assigned. Notations at the end of a term provide documentation of the type of separation from the University.

H (honors) used prior to June 2015.

- Copy of Official Transcript -

Sujay Suresh Kumar Ragini Kothari

Founder and CEO, Lilu Inc R & D Biomedical Engineer, Lilu Inc ad3cqo@r.postjobfree.com ad3cqo@r.postjobfree.com

Prof Nuttida Runratsameenaweemana

Columbia University

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