Alishba Imran
@alishbaimran_
Followers
6,162
Following
1,921
Media
146
Statuses
1,886
CS @berkeley_eecs , @BerkeleyML | curr: ML biochem @czbiohub , research @berkeley_ai w/ @pabbeel , scout @kleinerperkins | @tesla , @cruise , @NVIDIA , founder Voltx
toronto📍sf
Joined November 2014
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Pinned Tweet
Super excited to share the early release of my O’Reilly book “Machine Learning for Robotics” w/
@keerthanpg
🤖
We just released the first two chapters on the platform covering important concepts in robotics, sensors, perception tasks, CNNs and transformers for perception + more!
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Excited to share that this summer I’ll be joining
@Tesla
working on computational chemistry and ML for battery materials discovery. I’ll be working on computational and ML research & engineering problems to accelerate comp chemistry, materials discovery and battery development🔋
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Building a CPU from scratch right now & it’s fascinating how manipulating a series of bits using specific control logic has led to a foundational piece of tech
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Had an awesome week in Texas at the
@Tesla
HQ with my team.
- Got to see the inside of a large-scale cell manufacturing lab
- Learned about processes all the way from R&D, jelly roll creation to cell formation
- Hacked on some new projects in data science/ML for battery chem
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I’ve had such an amazing time working at Tesla this summer on the materials cell engineering team 🚀 I got to own projects using physics and ML models for optimizing the battery formation process. As well, got to work on computational chemistry techniques & EE/hardware design!
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Starting an informal reading group focused on biology and chemistry! 🧬We’ll dive deeper into the process of protein design, anti-body engineering and cell dynamics. Using various textbooks, plan on covering these topics, let me know if you’re interested!
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New project now on
@huggingface
🧪 I built a tool that uses an attention-based graph convolutional neural network technique to accelerate the calculation of reaction energy. This can be used for reactants in a redox reaction for redox flow battery molecules. More in thread👇
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Saturday morning activities: delving into
@GoogleDeepMind
’s GNoME paper, exploring the materials project, and learning about inorganic crystal prediction!
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I was featured in an article by
@UCBerkeley
where I talk about my journey in startups and research working in ML, robotics, & materials discovery!
Check it out!
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Excited to share I’m working with Kleiner Perkins (
@kleinerperkins
) as an investment scout, alongside the talented
@LM_Braswell
. Investing in early stage ideas, especially in ML, robotics, or biotech. I'd love to support if you’re building something, please reach out!
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joined
@natfriedman
and other founders over dinner last night. reinforced the idea of "finding a problem you love first and then the best avenue (startup/academia/FRO, etc.) to solve it, rather than the other way around"
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Just finished a simulation in Pybullet for Vision-Based Robotic Grasping using reinforcement learning methods such as DDPG. This implementation was widely inspired by this paper: and the Kuka Diverse Object Grasping Environment. Check it out!
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I’ll be learning the ins-and-outs of managing largescale data pipelines, building predictive data-driven/ML models to accelerate formulation, discovery & validation of new materials! Even more excited to work with and collaborate with Peter Attia, Matthew Murbach & more :)
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Happy to share I've committed to
@UCBerkeley
to study CS + further my interests in ML/hardware! Really excited to live & meet more people in the Bay Area.
Thanks to amazing mentors
@AlfredoAndere
,
@MichaelRetchin
,
@EmmaQian_
,
@michellearning
,
@vgcerf
for help w/ this decision:)
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Very excited to share my new research paper with
@berkeley_ai
and
@GoogleAI
. We use Google PaLM and other LLMs to extract semantic understanding from scenes that can help robots do mechanical search tasks with 47.1% reduction in number of actions: !
Wouldn’t it be nice if ChatGPT could find your missing keys for you? Our latest research from
@berkeley_ai
+
@GoogleAI
suggests that robots can use large language models (LLMs) to find hidden objects faster. 🧵👇
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Quick update: joining The Chan Zuckerberg Biohub to work on multimodal ML imaging for cells/proteins analysis, with applications in viral infections and biochem materials discovery. Excited to collaborate w/
@mattersOfLight
& others. If you’re in SF this summer, let’s meet up!!
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How does AlphaFold3 predict the structures of proteins, DNA/RNA, ligands and other biomolecules? I did a deep dive into protein folding, how AlphaFold works and the new model. Here’s what I learned:
(resource in thread)
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One of the things I’ve learned as a young person is that it’s not about your current knowledge (y-intercept) but your rate of learning (slope).
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Would love to catch up or connect with folks who’ll also be in the Bay/SF this summer!
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Super excited to have my O1 visa approved 🥳
Do any Canadians have experience entering the US with this visa? Had some quick q’s!
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🚀Excited to share that I’ll be publishing a book, “Machine Learning for Robotics” with
@OReillyMedia
, alongside
@Mascobot
&
@keerthanpg
!
We’re looking for reviewers who have worked w/ ML methods (language, CV, RL/IL) for robotics. If you’re interested, we’d love to connect :)
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🧪 Worked on a new project w/ Ankur Gupta and
@merz_garrett
using LLMs to speed up accurate prediction of chemical properties.
To start, we use GPT-3 with GPTChem & GPT2-LoRA to predict the atomization energies of molecules at the G4(MP2) theory level from the QM9 dataset.
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Honoured to have
@UCBerkeley
’s Chancellor, Carol Christ write about me in her latest campus letter. The letter was sent out to over 400k+ alumnis and donors :)
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Grateful to be supported by amazing staff and students at Berkeley 🙏
Congratulations to
@alishbaimran_
, who has been named in
@TeenVogue
's 21 under 21 of 2022! Alishba, who studies Computer Science at UC Berkeley, is an undergraduate researcher at AUTOLab, a research center run by
@ken_goldberg
.
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Just wrapped up an amazing year-end gathering in Toronto for the hard/deep tech community w/
@sana_rfzz
,
@EeshaU
! Over 60+ people jamming out about biotech, ML, robotics and more. Grateful to our sponsors
@BainCapVC
and
@8vc
for their support!🙏
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If you're well-versed or interested in RL/IL/robotics and would like to contribute to a piece being published by Springer Nature in the next 1-2 months, please DM me!
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Quick update: pumped to be working on R&D and commercialization efforts at
@Cruise
this summer to solve hard problems in ML, simulation, and data for perception, planning, behaviour. Excited to meet + learn from
@yuning_chai
,
@cristina_scheau
,
@ariannamcclain
,
@olivercameron
🚀
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Making progress on a minimal prototype for a low-cost hardware self-driving lab system to speed up materials discovery!
The current hardware is <$150 (maker pi pico base, LED, light sensor, pumps). Using bayesian optimization for multi-fidelity and multi-objective optimization.
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Team is hiring right now, apply: if any of you are interested in working on these things on the robotics, manufacturing or materials science / battery side.
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I’m currently working on a prototype low-cost hardware system using Bayesian optimization algorithms for self-driving labs! 🤖
Interesting to hear about batch and multi-fidelity optimization for improving yield of a reaction or the strength of a material:
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Got to try out
@Cruise
’s driverless service in San Francisco last night. So crazy getting to see the ML stack and product that I’m helping build in real-life!
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Friday read - battery systems engineering. Learning about electrolyte diffusion and electrochemistry reactions!
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Your ability to create significant contributions to a field depend a lot on your taste for identifying impactful problems to work on.
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Sharing an open-source model from my research! This is an implementation using an attention-based-CNN-BiLSTM for accurate estimation of lithium-ion batteries state of health (SOH) and remaining useful life (RUL), important aspects of a cell chemistry & it’s aging degree (1/3) 🧵
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Today marks my last day at the first SF
@thedojohouse
cohort. It's been an incredible summer filled with inspiring conversations and valuable learning experiences in biotech.
Immense thanks to
@ryankashanchi
,
@lucassosnick
,
@xandroxu
,
@ingarobotics
,
@JustusW93
, and
@KaylaLeung7
!
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Excited to share my pre-print “Open Arms: Open-Source Arms, Hands & Control”, with
@hansonrobotics
& in collaboration with
@iiscbangalore
for the ANA Avatar
@xprize
challenge as an effort toward human-AI hybrid telepresence. We present Open Arms 🧵
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Grateful to be a winner of the emergent ventures grant and for
@tylercowen
’s support 🙏 Updates on my projects coming very soon!
Emergent Ventures winners, 28th cohort: , congratulations to all!
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It was so great getting to chat with
@zebulgar
!
Thanks for the actionable advice on finding your "niche" skillsets/knowledge needed to be a deeptech founder/student, hiring and sharing more about your journey and learnings with
@VardaSpace
🙂
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What are best resources for learning fundamentals of jax (automatic differentiation, JIT compilation, custom gradients, etc.) coming from numpy + getting familiar with the structure of jax codebases?
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I’ve had an amazing time so far working at
@Cruise
. We are tackling unique challenges that range from hardware (compute, sensors - cameras, radars, acoustics, LiDARs), AI to simulation.
I put together this blog highlighting some learnings & reflections:
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Our research paper on Open Arms, a low-cost, high functionality robotic arms hardware and software framework, was just published in
@IEEEXplore
!
Proud to announce that the Brilliant
@alishbaimran_
, along with our Hanson Robotics team has just published a paper about my hands and the platform and hardware that can extend its capabilities. 🤖🦾
Link to Publication:
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Fun weekend in DC at the EV unconference! Got to catch up with friends, talk energy/security, and learned a lot. Thanks
@tylercowen
& rest of EV team for putting this together :)
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Really excited to be joining the
@beondeck
community as part of the
#ODF8
cohort to continue building and learning! Thank you to
@nateforster_
,
@julianweisser
,
@david__booth
&
@eriktorenberg
for this opportunity :)
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Stanford’s
@hackwithtrees
has been a blast 🚀
Some highlights so far: worked on projects, met + heard talks from
@karpathy
,
@apartovi
, Sajith Wickramasekara (
@benchling
) and it was great catching up with everyone :)
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Here’s the updated prototype of our prosthetic arm project using GG-CNNs for grasping poses and learning a control policy using RL, in support of
@SJSU
,
@hansonrobotics
& mentors at the BLINC Lab!Will be sharing a blog with updates on our research & development progress as well:)
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Great day at the office learning about density functional theory & electrolyte material modelling 🧪
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Anyone done YC or done the interview before? Would love to connect!
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The best filter for decision making I’ve found:
- Putting myself in environments with the highest density of ambitious people where I can build and learn the most
- Saying no to commitments that seem interesting but might distract from what I really want to do
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Excited to be joining the community and to continue working with and meeting more builders 🚀
1/ Contrary’s mission is to identify the brightest, scrappiest, and most talented builders in the world, and support them for life.
We do this with our community - and for the past 6 years, our Venture Partner (VP) program has been its heart.
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Had an amazing time speaking at the
@reworkdl
Deep Learning Summit about research in crystal graph neural networks and autonomous self-driving labs for energy storage and battery materials discovery!
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Self-driving robot platform to automatically formulate redox electrolytes for batteries and characterize them without human intervention.
Extensive review paper on software, hardware and applications of SDLs by
@A_Aspuru_Guzik
@M_Seifrid
@felix_s_k
@Stefan_P_Schmid
& others.
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@shagun_mm
and I put together this blog to share some of our key takeaways and learnings building a hard tech startup as young first-time founders. We hope this resource helps others who are getting started!
Highlights in thread 👇🏼
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I’ve been working on new approaches for humanoid manipulation. I wrote a blog explaining some of the work: 😃
17-year-old Hanson Robotics fellow
@alishbaimran_
explains her recent work on improving humanoid manipulation tasks such as grasping using CNNs and a Neural-Symbolic AI approach. Check it out!
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Perfect Saturday spent at Dolores learning about CryoEM and generative modeling
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New blog post on how we can develop a portable, low-cost, soft robotic glove with Q-learning for sensing+control of the soft actuators for improved motion. This can be used during neuromuscular rehabilitation such as for strokes. Let me know what you think!
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Grateful to be awarded the Eclipse Grant to further my work in comp mat sci/bio! Huge fan of
@mollyfmielke
’s work supporting young people. Recommended applying if you are looking for non-dilutive funding for your research or side projects!
This year’s winners, including
@clayhaight
and
@BigCrete
,
@raffi_hotter
and
@_marleyx
,
@jonxuxu
,
@alishbaimran_
,
@maxkriegers
,
@ismailhozain
, and
@mathurahravi
, illustrate the diversity and dynamism of young innovators poised to make significant impacts.
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Exciting to have our reflective paper in
@digital_rsc
(thanks for the effort
@kmjablonka
)!
Check it out to learn more about how LLMs are being applied to chemistry and materials:
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Going to be sending out an update on what I’ve been up to past few months; research, ML chem/mat sci work, my book, and much more!
You can sign up here if you want to receive the update + future updates directly:
A glimpse at what I’ll talk about:
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5
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Sat down to chat with Berkeley’s new college (
@BerkeleyDataSci
) about my O’Reilly book and current research in RL & rep. learning at
@berkeley_ai
!
We have some exciting new chapters dropping soon on language models, simulation, and RL!
Check out the interview highlights:
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Looking forward to speaking at the
@Gartner_inc
IOCS Conference in Las Vegas next week where I’ll be speaking about my work in energy storage & ML!
I’ll be in Las Vegas from Dec 5-8th. If you’re around then, would love to catch up or chat :)
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Had an amazing time organizing a learning retreat with
@daviderady
and
@MukundhMurthy
! Spent 2 days in the woods learning, bonding, and sharing ideas:
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Published a pre-print paper on some of our work
@hansonrobotics
with the AHAM team
@xprize
. We outline a framework using machine perception, convolutional neural networks, and symbolic AI for logical control and affordance indexing of robotic arms:
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Never read so many research papers in a day as I am now that I’m writing a book 😅
Learning how to quickly extract knowledge at different levels of abstractions is underrated. And knowing when to switch between a higher (system) & lower level (architecture) in your explanations.
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Simulated control of a soft bio-inspired robot gripper using Q-learning to train the control policy for a simple manipulation task. Done with
@SofaFramework
using SRT by Harvard Biodesign lab! Will also be sharing a blog explaining how this works soon. Check out this short demo!
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Have been reflecting a lot on what it means to unapologetically be yourself:
- Acts as a “filter” to attract people with aligned values
- You get better at taking risks and facing failure/rejection
- Builds confidence
Wrote a piece sharing my thoughts:
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Had a very fulfilling day today, realized I'm the most satisfied when I'm:
- learning a lot & pushing myself
- working on an exciting mission/project
- surrounded by amazing people, supportive and deep conversations with friends
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Thank you for the feature
@SutardjaCenter
on my work in ML for battery materials discovery, and my upcoming book :)
Meet
@AlishbaImran_
, UC Berkeley student entrepreneur studying CS, book author of "Machine Learning for Robotics", and previous startup founder of Voltx. She recently joined
@Tesla
to continue her work on machine learning. Follow her for updates on her book and awesome work!
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I’m so honoured to be one of
@TeenVogue
’s 21 under 21 this year! It’s very inspiring to to be included on this list with other young people doing amazing work in their fields :)
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Exploring faster pathways to synthesize and characterize materials for discoveries in batteries, semi-conductors, etc.
Just configured the hardware and controller system for my color-mixing self-driving lab, a low-cost version of a costly multi-step chemical discovery SDL!
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It was great meeting
@kmjablonka
and
@jrib_
in Berkeley today! Had a good convo about AI/ML, materials, chemistry and life :)
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Had a great time speaking to executives from leading companies about sustainability in their companies at
@Gartner_inc
’s global conference! I touched on my work in ML, automation, & important areas in accelerating renewable energy storage, materials discovery/recycling.
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Excited to share my pre-print paper publication with
@SJSU
!We've developed a novel design & 3D printed material to reduce the cost of prosthetics from $10k to $700 on average, equipped with a closed-loop vision-based manipulation technique to improve use.
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Been getting lots of questions on how to get the O-1 (extraordinary ability/achievement visa) and the process.
Put together a short article highlighting some of my learnings and tips:
Hope this is helpful, DMs open if anyone has any questions!
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Excited to be launching this blog series with
@olivercameron
! We'll be doing research deep dives and covering exciting advancements in ML, robotics, materials science, computational science, and much more :)
Learn more in this thread 👇🏼
Really excited to share our first deep-dive later this week. The ramifications of it are insane.
Subscribe here to be ready:
Proud to partner on this with
@alishbaimran_
!
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Hosting an end of the year get together in Toronto (w/
@sana_rfzz
) for young people in hard/deep tech (biotech, hardware, ml, etc). There will be good food, project demos and lots of time to mingle!
RSVP here:
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Interact is a community and fellowship full of some of the most authentic, inspiring, and helpful friends I’ve ever met. Def recommend applying if you’re a young technologist!
Applications are now open for the 2022 Interact Fellowship!
Learn more and apply here by February 15th: .
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Working in research means your friends text you to borrow GPUs the night of a conference paper deadline:
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My talk at
@reworkdl
Deep Learning Summit was just published!
I talk about graphs representation of materials with physics, applications of GNNs for materials property prediction, synthesis of materials, and autonomous self-driving labs.
Check it out:
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Hi Cal friends! Holding another builder session this Sunday at 10am. Come out to hack on your projects alongside other founders, students, & researchers.
Last event had a great turnout + amazing projects in batteries, microdrones, ML & more. Sign up here:
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Good reminder I’ve been thinking about! Resonate a lot with this framework of compartmentalizing your time & thinking about problems you wanna work on for 4-5 yrs of your life. This is especially helpful when thinking about exploring vs. spending time building depth.
Pattern I've noticed in very impactful people: Spend ~1 year exploring broadly, ~4 years relentless focus executing on the most interesting direction, repeat.
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I’ve been working with
@hansonrobotics
+
@singularity_net
to create SophiaDAO. This organization is designed to nurture the development of advanced human-like robots such as
@RealSophiaRobot
& AGI research. Learn more in this blog I wrote:. More in thread👇🏼
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Just shared a quick update on what I've been up to for the past few months! I touch upon:
- my internship at
@Cruise
- research
- publishing a book with
@OReillyMedia
- travels and much more!
Check out the update here:
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Learnt & grew the most this summer with other amazing founders as a fellow at the Delta Fellowship by
@HumandotCapital
. Really grateful for all the tactical advice/learnings which I applied directly to grow my startup.Thank you to
@barisakis
&
@TheEmma_Kirst
for this opportunity!
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Spent the day at the
@czbiohub
in SF learning about cell segmentation techniques & generating embeddings for tomograms. Learned so much & about exciting projects. Thanks
@mattersOfLight
,
@Adrian_Jacobo
& others for having me!
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People often underestimate the compounding effects of learning best practices in a field and immersing in problem-solving before building. Having depth can be crucial to building something substantial in a field.
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It was great to chat with Dave Patterson today. He's someone I've looked up to, a turing award winner & inventor in computer architecture!
We spoke about many things, including his research but here are some key learnings that I thought I'd share + may be helpful for others: 👇🏼
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Was great getting to meet
@johnschulman2
(co-founder of OpenAI). Huge fan of his research and work with RL and GPT!
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Check out this new paper featuring our project:
Great compilation of how LLMs are being applied to chemistry/matsci for predictive modelling, tools, & knowledge extraction.
Thanks
@kmjablonka
,
@BenBlaiszik
,
@andrewwhite01
for putting this together!
1. Ankur K. Gupta,
@merz_garrett
,
@alishbaimran_
, Wibe A. de Jong use LLMs to predict atomization energies (also leveraging a Delta-ML scheme)
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Can’t wait to be part of the first cohort of Commit and to meet/learn from amazing people like Sarah and the other fellows. Highly recc applying it you’re a student, new grad or researcher building in AI/ML!
1/ 👇Apply to Commit,
@w_conviction
's community program for young AI builders, kicking off with an IRL hackathon sponsored by
@OpenAI
@huggingface
@basetenco
on 6/1-6/4. Meet co-conspirators, hack, and win $$, LLM/GPU credits and glory. Travel covered
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Nothing beats the fulfillment of cooking a Lunar New Year dinner and sharing meaningful conversations with friends :)
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Hacked away on FastTrack this weekend, an application to provide female founders with funding opportunities through connecting them with investors, technical advisors and allowing them to build in a safe space with other founders. Sign up for beta here:
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Understanding the atomic-level structure and dynamics of macromolecules, such as proteins, can be useful for designing new materials or drugs. I wrote a small piece on this problem, cryo-EM and how deep generative modelling is used:
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I’m helping organize builder sessions (Whiteboards and Waffles) with
@contrarycapital
at Cal! Come out this Sunday to hack on passion projects alongside other ambitious Cal founders, researchers, scientists, and builders. RSVP here to attend:
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📄Excited to share our paper which was published in
@ASMEdotorg
! We study the design of affordable prostheses and scalable learning with off-policy algorithms for grasping with a 78% grasp success rate on previously unseen objects.
@SJSU
@SJSUEngineering
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Just gave a talk at TruffleCon 2019, with over 700+ Blockchain industry leaders in Seattle. So insanely grateful for everyone at
@trufflesuite
,
@Microsoft
&
@theksociety
that helped make this possible :) - Offical talk & pictures will be our soon!!
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