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Sanket Patil Menu
 * About
 * Projects
 * Achievements
 * Short Bio
 * Extras
 * Contacts

Welcome To My Story.
Will you join me?
Tell Me More CV


ABOUT

I AM A PHD STUDENT AT THE ITALIAN INSTITUTE OF TECHNOLOGY, GENOA, WORKING UNDER
THE GUIDANCE OF DR. ELI SLENDERS (IIT) AND DR. GIUSEPPE VICIDOMINI (IIT) ON
SINGLE PARTICLE TRACKING AT THE NANOMETRIC RESOLUTION. I AM INTERESTED IN DEEP
LEARNING, OPTICAL PHYSICS, BIOPHOTONICS, AND SUPER-RESOLUTION MICROSCOPY WITH
HANDS-ON EXPERIENCE IN MICROSCOPE BUILDING AND ASSOCIATED DATA ANALYSIS. MY
PRIMARY EXPERTISE HAS REVOLVED AROUND BUILDING NEW IMAGING TECHNIQUES AND CODING
SOFTWARE REQUIRED FOR THEIR HARDWARE-SOFTWARE INTEGRATION. I COMPLETED MY
BACHELOR’S AND MASTER’S DEGREE IN BIOTECHNOLOGY FROM THE INDIAN INSTITUTE OF
TECHNOLOGY (IIT), KANPUR (INDIA). I GOT MY MASTER’S DEGREE IN 2022 WITH A THESIS
ENTITLED “AUTOMATING SINGLE PARTICLE TRACKING IN OPTICAL MICROSCOPY WITH A NOVEL
DEEP LEARNING ARCHITECTURE TO PROBE INTRACELLULAR TRAFFICKING.” DURING MY
MASTER’S DEGREE, I ALSO BUILT A CUSTOM SUPER-RESOLUTION STORM SETUP.

DEEP LEARNING/AI

Probably not the first time you are reading ‘Deep Learning’ (DL). But hey, it is
absolutely worth the hype. DL is bigger than recognizing cars or cats or road
signs- think bigger. Next-gen neural networks can self assemble and adapt to any
challenge that is thrown towards them, something biology can take an enormous
advantage from.

BIOPHOTONICS

Biophotonics is awesome. In fact, it is a combination of physics, biology,
chemistry and computer science. Optical physics involved in biophotonics is like
pure magic. In the old ages, we used to rely on slow copper wires for our
electronics and communications. However, since the invention of fibre optics, we
are enjoying unprecedented speeds, and there is no stopping now. The integration
of biology gives photonics a whole new perspective of developing clinical
diagnostics tools using light-matter interactions. I am really excited to see
how this field evolves in the future and how it can help us make imaging
techniques better.

SUPER-RESOLUTION MICROSCOPY

By now, you have probably heard of super-resolution microscopy and its
potential. If you have not, then allow me ⁠— the super-resolution concept takes
ordinary light microscopy concept and ramps it up to 1000% by breaking the
diffraction limit of light and imaging beyond it. It makes use of synthetic
fluorescent probes, precise lasers and intelligent software to achieve these
results. This simple yet revolutionary idea greatly excites me and I’m thrilled
to see its future uses, particularly in single-cell biology and brain imaging.

TEAM WORK

It is not only about the technologies but mainly about the people behind them.
(Until neural networks start writing new excellent code ("GTP-3" did it
already)...) I am always excited to work in a team. Working with others
generates new ideas, strengthens existing friendships and is just much more fun
that can be shared, right?

RESEARCH

The primary condition about any project and work that I do is that I do
something novel. I am not interested in repeating solutions developed by the
others; I am more interested in researching my solutions. I am not afraid of
reading papers and independently conducting research, I actually love it!

Tweets by Sanket


SKILLS

TECHNICAL*

INTERMEDIATE

WORKING KNOWLEGE

PROFICIENT

Python

80%
MATLAB

60%
Fiji-Macro

50%

OTHER LANGUAGES USED FROM TIME TO TIME:

C, C++ ,Java



Keras

80%
Tensorflow

65%
PyTorch

50%

DESIGNING AND IMAGE ANALYSIS:

ImageJ, Origin, ICY, AutoCAD, Autodesk Inventor, Fusion 360, Solidworks, ZEN



COMPLEMENTARY COURSES:

Advanced Imaging Methods, Neurobiology, Bioinformatics, Applied Data Science
with Python, Mathematics for Machine Learning, Neural Networks and Deep Learning
Specialization, Applied AI with Deep Learning, TensorFlow in Practice


PORTFOLIO


PROJECTS

PROJECTS OF THE PAST AND PRESENT.

PARTICLE TRACKING ANALYSIS

Python, MATLAB, MSD, BioImage analysis

SINGLE PARTICLE TRACKING USING DEEP LEARNING

Python, Deep Learning, Transformer, Computer Vision

SELFISH VS ALTRUISTIC BEHAVIOR

Psychology, Socio-biology, Human behaviour


ACHIEVEMENTS

SOME OF MY PAST ACHIEVEMENTS.

@inproceedings{fan2018real1, author={Ranked amongst the top 1% students in
Maharashtra state XII (HSC) examination.} } @inproceedings{fan2018real2,
author={Successfully qualifed The National Abacus & Mental Arithmetic and
Mathematics Test conducted by International Abacus Mathematics Association and
Abacus Education Association of R. O. C.} } @inproceedings{fan2018real3,
author={Proud recipient SAGNIK ASIS RAY SCHOLARSHIP for biological research.} }
@inproceedings{fan2018real4, author={Qualified Advance Level Of Mental Math
Arithmetic Course.} } <!--EXTRA--> @misc{ferianc2021combinet1, author={Ranked
34th (out of 6600+ players) in All India Men’s Squash Ranking by Squash Racket
Federation of India (SRFI).} } @misc{ferianc2021combinet2, author={Captained the
team to the Silver Medal in the Squash Championship during the Inter-IIT Sports
Meet 2019.} } @misc{ferianc2021combinet3, author={Led the team to Victory in
Squash Championship, in Spardha’ 2018, and Udghosh’ 2019} }
@misc{ferianc2021combinet4, author={Achieved 3rd place in Uttar Pradesh squash
opens and 5th place in Maharashtra state squash opens.} }
@misc{ferianc2021combinet5, author={Proud recipient of Sports scholarship by IIT
Kanpur for outstanding performance in Squash.} }
• , [view online ] ,[view code ]

, ,

, Media Coverage



ACADEMIC

• Ranked amongst the top 1% students in Maharashtra state XII (HSC) examination.




• Successfully qualifed The National Abacus & Mental Arithmetic, Mathematics
Test conducted by International Abacus Mathematics Association, and Abacus
Education Association of R. O. C.




• Proud recipient SAGNIK ASIS RAY SCHOLARSHIP for biological research.




• Qualified Advance Level Of Mental Math Arithmetic Course.






EXTRA-CURRICULAR

• Ranked 34th (out of 6600+ players) in All India Men’s Squash Ranking by Squash
Racket Federation of India (SRFI).




• Captained the team to the Silver Medal in the Squash Championship during the
Inter-IIT Sports Meet 2019.




• Led the team to Victory in Squash Championship, in Spardha’ 2018, and Udghosh’
2019




• Achieved 3rd place in Uttar Pradesh squash opens, and 5th place in Maharashtra
state squash opens.




• Proud recipient of Sports scholarship by IIT Kanpur for outstanding
performance in Squash.






SHORT BIO


WHERE AM I IN MY JOURNEY?

 * 2005-2017
   
   THE STORY BEGINS
   
   I was a student at Kendriya Vidyalaya in Maharashtra, India; progressing to
   join the Higher Secondary Education (HSE) programme. All of the IB subjects I
   took, except languages and literature, were taught in English. My high-level
   elective classes were Maths, Physics and Chemistry. I selected Electronic
   engineering as my elective during the +2 degree.

 * 2017-2021
   
   ENGINEER!
   
   I was accepted by the Indian Institute of Technology, Kanpur, following high
   school and moved there in August 2017 to embark on the next stage of my
   journey- a Bachelor's degree in Biological Sciences and Bio-Engineering. I
   felt like a deity; combining the knowledge of electronics with cell biology
   was like exploring the universe at a pixel level. I was fortunate enough to
   be able to use different microscopes and see life at a nano level. Then deep
   learning gave me the power to make computers work without me working, and now
   the sky is the only limit.

 * 2021-2022
   
   MASTERING 'THINGS'
   
   Afterwards, I was amazed by the power of deep learning so much that I have
   decided to undertake a Masters degree in this field at IIT Kanpur. My aim was
   to bring a more logical approach to the image processing pipeline of
   biological imaging data such that it can be more accessible to common folk
   without needing black magic like skills. During my time at IIT, I was
   fortunte to build a custom super-resolution microscope from scratch. An
   experince that changed my perspective towards what I want to do for my PhD.

 * 2022 TO BEYOND!
   
   AS PHD GOES
   
   To nurture my passion for building awesome super-resolution microscopes that
   can revolutionize science, I decided to join the lab of Dr. Giuseppe
   Vicidomini for a PhD. This feels like one of the best decisions that I have
   made in my life. The group does awesome science and is extremely motivated to
   solve any challenge that comes their way. A further plus point is that
   everybody is friendly it feels like a family to be working with.

 * BE PART
   OF THE
   STORY!
   
   FUTURE WITH YOU?
   
   I’m keeping an open mind about where my future takes me, but if you think I
   would be a great fit for your team, company or project, let me know! I’d love
   the chance to talk with you. Feel free to also to send cat pictures, I always
   appreciate those. For opportunities and cat related enquiries, there’s a
   button right below.


EXTRAS


WHAT I LIKE TO DO!!

APART FROM STUDIES AND PROGRAMMING, I ENJOY MOST OF MY TIME IN SPORTS. I LIKE
PLAYING SQUASH, AND I WAS THE CAPTAIN OF THE INSTITUTE SQUASH TEAM. I ENJOY
PLAYING FOOTBALL, BADMINTON AND TABLE TENNIS. WHEN FORCED INDOORS, I FOLLOW
SEVERAL FOOTBALL LEAGUES ACROSS THE WORLD AND PLAY VIDEO GAMES, I AM AN ASPIRING
MICROSCOPIST, AND I SPEND A LARGE AMOUNT OF MY FREE TIME EXPLORING NEW COURSES
AVAILABLE ALL ACROSS THE INTERNET AND THE LATEST TECHNOLOGY ADVANCEMENTS ACROSS
THE WORLD OF COMPUTER HARDWARE.


CONTACT ME

Drop an E-mail! CV
© Sanket Patil 2021-present


PARTICLE TRACKING ANALYSIS

Python, MATLAB, MSD, BioImage analysis

Analysing particle tracking data has always been problematic. Tracking data from
different microscopes is different, and there is no universal data analysing
algorithm. And the available software requires coding skills to use them. This
is hard for many biologists and is time-consuming in general. Also, there is no
consensus between biologists what analysis method is the best; thus, all
software use different criteria. So we planned to write an algorithm that can be
used by everyone without needing heavy coding knowledge.

We developed a new analysis algorithm in MATLAB based on the mean squared
displacement criterion and successfully deployed it in our lab for data
analysis. Because MATLAB is hard to use for beginners, so I also wrote the
entire algorithm in python and in a user-friendly way.

In our lab, we used real stochastic optical reconstruction microscopy (STORM)
data for the analysis. In addition to all the technical skills that I acquired
through multiple coding versions of the software, I learned a lot about project
planning and how to implement my ideas for a targeted audience.

 * Date: June 2019 - January 2020

Close Project


SINGLE PARTICLE TRACKING USING DEEP LEARNING

Python, Deep Learning, Transformer, Computer Vision

Pertaining to our previous project of analysing single-particle tracking data,
there is also a lack of a universally accepted algorithm for tracking particles.
All the software available for this task either require knowledge of some
specific programming language or have highly lethal user interfaces. Alongside
that, these algorithms heavily rely on the user for tuning the parameters each
time they need to track their data. This creates a user bias and makes it hard
for others to reproduce the same results, which is of utter significance in
biology.

Recognizing these problems, we planned to develop a particle tracker
(multi-object) based on neural network architectures. Neural networks were
chosen owing to the fact that once trained, they can be used on any machine and
also require minimal to no input from the end-user, which makes the
reproducibility of results much more straightforward.

This project started out of sheer interest during my bachelor's degree and now
adopted as my master's thesis project. We are trying to use LSTMs and CNNs in
conjunction to get better results. We also plan to use transformer neural
networks (new hot thing) at some point to achieve SOTA results in this task.
Once developed, this model can be used by anyone across the globe directly or
can be trained on custom datasets.

 * Date: January 2020-Present

Close Project


SELFISH VS ALTRUISTIC BEHAVIOR

Psychology, Socio-biology, Human behaviour







 * Date: July 2019 - December 2019

Close Project